{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001546186,0.0001190488,0.0001811284,0.0002470501,0.0001253493,0.0003262819,0.0002029446,0.0001120321,0.0002135724],"category_scores_gemma":[0.001331545,0.0001054777,0.00007048994,0.0004812957,0.00003627969,0.0007649491,0.00003000484,0.0001702757,0.000367113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001947981,"about_ca_system_score_gemma":0.00005352773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002555355,"about_ca_topic_score_gemma":0.0005683659,"domain_scores_codex":[0.9981557,0.0001511998,0.0005958801,0.0004547759,0.0004563814,0.0001861319],"domain_scores_gemma":[0.998394,0.0008306153,0.0001755266,0.0002887757,0.0002499902,0.00006116412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001922273,0.0001610504,0.0002102089,0.000001097811,0.000001647685,0.000002445419,0.0001689897,0.008236245,0.0008494323,0.0005952712,0.0004813147,0.9891001],"study_design_scores_gemma":[0.001033617,0.0001640406,0.03135002,0.00004028616,0.00001168871,0.000002935042,0.0002812636,0.003368587,0.0002716655,0.962648,0.0006579076,0.0001700255],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850752,0.00001380005,0.008728667,0.0008674422,0.0004797664,0.0002257799,0.000008686669,0.00005736914,0.004543308],"genre_scores_gemma":[0.9985702,0.000004151716,0.0007580426,0.0004744713,0.00009356395,0.00001172659,0.00005042704,0.000005500817,0.00003189647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.98893,"threshold_uncertainty_score":0.4718617,"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."}}