{"id":"W2104463177","doi":"10.1016/j.cognition.2009.07.003","title":"Probability matching in choice under uncertainty: Intuition versus deliberation","year":2009,"lang":"en","type":"article","venue":"Cognition","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":96,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Intuition; Deliberation; Psychology; Exploit; Matching (statistics); Cognitive psychology; Cognition; Computer science; Cognitive science; Statistics; Mathematics","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":[0.01855362,0.0006024081,0.001596011,0.001498034,0.000784201,0.007987258,0.001828242,0.003614873,0.006150522],"category_scores_gemma":[0.0928991,0.0007520915,0.001475699,0.001178876,0.007061367,0.01442001,0.002392176,0.002754769,0.0004691243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001880132,"about_ca_system_score_gemma":0.002003617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001393348,"about_ca_topic_score_gemma":0.0007581938,"domain_scores_codex":[0.9903069,0.006247529,0.0005375536,0.001237368,0.001103933,0.0005668149],"domain_scores_gemma":[0.9260294,0.06207025,0.004944018,0.003527437,0.002013376,0.001415419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004476134,0.0003084684,0.004844537,0.0004057548,0.0003589992,0.0001617538,0.001115405,0.03579324,0.001057548,0.9215996,0.001084173,0.03282288],"study_design_scores_gemma":[0.00002668237,0.00002753164,0.000756188,0.00001950591,0.00002403724,0.00002903847,0.0000773203,0.02833917,0.0001413994,0.9703469,0.0001920779,0.00002015928],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3511374,0.003140092,0.6005992,0.01485974,0.000306497,0.0001352719,0.0001389385,0.0001405456,0.02954236],"genre_scores_gemma":[0.9656847,0.0007788032,0.03202651,0.0004355,0.0002002334,0.00007061406,0.00004423638,0.00002073931,0.0007387239],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01855362,"threshold_uncertainty_score":0.09812212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2730349298543821,"score_gpt":0.4263020445718301,"score_spread":0.153267114717448,"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."}}