{"id":"W1506848536","doi":"10.2139/ssrn.2101661","title":"Generic Outcomes of Observational Learning","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Observational study; Observational learning; Psychology; Computer science; Medicine; Mathematics education; Experiential learning; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00883168,0.0007333848,0.00167136,0.001976226,0.001410776,0.003861234,0.001723531,0.003036139,0.01426206],"category_scores_gemma":[0.05051263,0.0004187859,0.001305875,0.002039947,0.00537731,0.007686717,0.005362075,0.002852034,0.0007647444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001834571,"about_ca_system_score_gemma":0.00130985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008886255,"about_ca_topic_score_gemma":0.0008327846,"domain_scores_codex":[0.9934406,0.003207441,0.0004676033,0.00103741,0.000874123,0.0009728826],"domain_scores_gemma":[0.9539648,0.02592367,0.006301937,0.008404309,0.001959693,0.003445682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001278774,0.00007644748,0.003607334,0.0000774194,0.00004498936,0.00008355033,0.0004025659,0.003190625,0.0001900343,0.9820079,0.0007686491,0.009422586],"study_design_scores_gemma":[0.00003241711,0.00003522675,0.001603412,0.00001313949,0.00001236966,0.00003891853,0.0001298655,0.006146748,0.00007956524,0.9914548,0.000444165,0.000009389746],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.564445,0.0004291888,0.3040111,0.005816418,0.0001172092,0.0003375946,0.002049494,0.0006054965,0.1221885],"genre_scores_gemma":[0.9859616,0.0001460677,0.007726338,0.0001839489,0.00005897149,0.000152871,0.0003827745,0.0000346173,0.005352672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01426206,"threshold_uncertainty_score":0.04771131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1428810333655586,"score_gpt":0.3915972396031822,"score_spread":0.2487162062376236,"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."}}