{"id":"W3187153961","doi":"","title":"Errors in Learning from Others' Choices","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Irrationality; Decision maker; Computer science; Simple (philosophy); Process (computing); Variation (astronomy); Artificial intelligence; Subject (documents); Psychology; Machine learning; Cognitive psychology; Social psychology; Mathematics; Operations research; Rationality; Epistemology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02344964,0.0005032893,0.0008411258,0.0006778703,0.000475104,0.002397046,0.0007586035,0.0008912817,0.00218495],"category_scores_gemma":[0.1155861,0.0004650885,0.000550391,0.0006415454,0.002676857,0.001707003,0.002249921,0.001698836,0.0003344797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020111,"about_ca_system_score_gemma":0.000888899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002196679,"about_ca_topic_score_gemma":0.001305696,"domain_scores_codex":[0.9844452,0.008478717,0.001129085,0.002196837,0.003251564,0.0004986424],"domain_scores_gemma":[0.8617522,0.09390186,0.01842767,0.02187757,0.003207933,0.0008327398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005298123,0.00186931,0.3892449,0.0006980812,0.001307628,0.0009171292,0.01336224,0.1234582,0.02606937,0.1803386,0.002365432,0.2550711],"study_design_scores_gemma":[0.000283136,0.001370395,0.3698703,0.0002054621,0.0004188168,0.0006104998,0.002276352,0.2051319,0.02616014,0.3888021,0.004583257,0.0002876176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642794,0.0001139019,0.02690706,0.0005763647,0.00002530634,0.00009833495,0.0001258168,0.00008151033,0.007792248],"genre_scores_gemma":[0.9935421,0.00006657925,0.005015496,0.00008369214,0.00001129328,0.00005004912,0.000081065,0.00002156432,0.001128214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02344964,"threshold_uncertainty_score":0.124015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1158043240082512,"score_gpt":0.2491838894216793,"score_spread":0.1333795654134282,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}