{"id":"W2165364063","doi":"","title":"A rational model of preference learning and choice prediction by children","year":2008,"lang":"en","type":"article","venue":"Max Planck Digital Library","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Air Force Office of Scientific Research; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Preference; Generalization; Preference learning; Revealed preference; Artificial intelligence; Computer science; Simple (philosophy); Machine learning; Discrete choice; Econometric model; Cognitive psychology; Psychology; Econometrics; Economics; Epistemology; Microeconomics","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":[0.00002861995,0.00007478464,0.0001312911,0.00004501306,0.0000558953,0.00003465861,0.00005495371,0.00004900028,0.0001400303],"category_scores_gemma":[0.00001276003,0.00009024331,0.00002498601,0.00003167466,0.00005146936,0.001345886,0.00004759205,0.00006917018,0.00007959138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001150141,"about_ca_system_score_gemma":0.00000794979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004296437,"about_ca_topic_score_gemma":7.801796e-8,"domain_scores_codex":[0.9994377,0.000003036153,0.0002570237,0.0001928823,0.00002233906,0.00008695143],"domain_scores_gemma":[0.9997471,0.00002201235,0.0001314091,0.00005957258,0.000001352979,0.00003858041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006921792,0.00003151289,0.9937259,0.000004741367,0.00001207305,7.073724e-8,0.00004693919,0.00120753,0.00002114639,0.002263836,0.002475482,0.0002038601],"study_design_scores_gemma":[0.0004014351,0.00006017604,0.9519936,0.000006418323,0.000001752304,0.000006650631,0.000006283701,0.03818475,0.000100593,0.006386376,0.002721978,0.0001299878],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9663507,0.0004428766,0.00076786,0.0000454287,0.00002430379,0.00008399297,0.002114555,0.0000305084,0.03013972],"genre_scores_gemma":[0.9951375,0.0001989295,0.0002562285,0.00004397021,0.00003414739,0.000007025614,0.001257275,0.0000120365,0.003052949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04173229,"threshold_uncertainty_score":0.3680016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05861580380668899,"score_gpt":0.157960381385943,"score_spread":0.099344577579254,"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."}}