{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006572485,0.0002793318,0.0002624234,0.0009970883,0.0006774576,0.0008471116,0.0002738624,0.000431173,0.002019752],"category_scores_gemma":[0.004510169,0.0002566624,0.0002317054,0.0006299468,0.0004646524,0.0005407296,0.0006249439,0.0007050971,0.0003494909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001607368,"about_ca_system_score_gemma":0.0001953919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004642591,"about_ca_topic_score_gemma":0.007283559,"domain_scores_codex":[0.9995955,0.00009939392,0.0000474788,0.00008221003,0.000112246,0.00006329079],"domain_scores_gemma":[0.9975459,0.0003837387,0.000964432,0.0001986818,0.0004482434,0.0004590246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006890976,0.0002141802,0.9967528,0.000006769822,0.00002175824,0.00005094071,0.0005445404,0.00002723608,0.0003338192,0.000022298,0.00007726946,0.001879472],"study_design_scores_gemma":[0.000006540225,0.0001723295,0.9982785,0.000004361494,0.000008505661,0.0002048318,0.0008145185,0.0001688192,0.0001250019,0.00007470238,0.0001346995,0.000007217222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997304,0.00001734845,0.00003558296,0.00000905909,0.00000136928,0.000005655469,0.0000518312,8.029604e-7,0.0001479756],"genre_scores_gemma":[0.9996105,0.0000215749,0.00008656914,0.00001644391,0.000002999928,0.000007681059,0.000106707,0.000001190035,0.0001464529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004642591,"threshold_uncertainty_score":0.00923115,"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."}}