{"id":"W2494441066","doi":"10.1002/bdm.1973","title":"Real‐World Correlates of Performance on Heuristics and Biases Tasks in a Community Sample","year":2016,"lang":"en","type":"article","venue":"Journal of Behavioral Decision Making","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; York University","funders":"Social Sciences and Humanities Research Council of Canada; John Templeton Foundation","keywords":"Heuristics; Psychology; Debiasing; Sample (material); Discounting; Cognitive psychology; Social psychology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005695039,0.0002440949,0.0008419473,0.001622661,0.0001965665,0.0001777907,0.001015574,0.0001369921,0.0002124867],"category_scores_gemma":[0.005958021,0.0001452503,0.0002183328,0.0008115072,0.0002329822,0.0006412604,0.0003310054,0.0006039002,0.00002617389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000165941,"about_ca_system_score_gemma":0.0001057504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000970184,"about_ca_topic_score_gemma":0.000386594,"domain_scores_codex":[0.9952794,0.000376202,0.002459742,0.0002844975,0.00130427,0.0002958391],"domain_scores_gemma":[0.9793416,0.0173837,0.001795385,0.0007064109,0.0006181187,0.0001547755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004551234,0.0002833528,0.3362001,0.000001999401,0.000002622606,0.00003487371,0.0002147386,0.0002532656,0.0003448673,0.00005740661,0.0002667338,0.6618848],"study_design_scores_gemma":[0.002306911,0.002585849,0.9012395,0.004770052,0.00007737722,0.0001804265,0.001210247,0.0009666514,0.000686003,0.08404859,0.001469982,0.0004583788],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972898,0.0000600823,0.001553066,0.00005242272,0.0007108221,0.0000989575,0.00005982983,0.000008986312,0.0001659729],"genre_scores_gemma":[0.9912536,0.0002045619,0.00838832,0.0000323826,0.00004882009,0.000001261768,4.422249e-7,0.00002112493,0.00004945074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6614265,"threshold_uncertainty_score":0.7132738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2132508711534191,"score_gpt":0.4443537811037341,"score_spread":0.2311029099503151,"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."}}