Session 2 - "Apple’s stock price on March 20, 2026 will be lower than on February 24, 2026."

This dataset contains the raw trial-level data and model output from one session of the "Artificial Intuition" study, a pre-registered investigation testing whether a machine learning model trained on decision reliability patterns can forecast future financial events.Files included:Session dataset (CSV): raw trial-level data including stimulus text, stimulus type, participant response, correctness (known trials), and reaction time.Analysis output: full model diagnostics, vote counts per phrase, forecast probability, and feature importance.本数据集包含来自「人工直觉（Artificial Intuition）」研究单一轮次的原始试次级数据与模型输出结果。该研究为预先注册的调查项目，旨在检验基于决策可靠性模式训练的机器学习模型能否预测未来金融事件。包含文件如下：1. 试次数据集（CSV格式）：原始试次级数据，涵盖刺激文本、刺激类型、被试反应、已知试次的正确率以及反应时；2. 分析输出结果：完整的模型诊断信息、各短语投票计数、预测概率与特征重要性。