{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007606317,0.00007549808,0.0001701293,0.0001170387,0.0002067667,0.000034242,0.0004519566,0.00003541197,0.000283297],"category_scores_gemma":[0.001050341,0.00005201742,0.0001254484,0.0004117364,0.00005225017,0.0003409318,0.00004210407,0.0007248754,0.0002102775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001069735,"about_ca_system_score_gemma":0.00045695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003220609,"about_ca_topic_score_gemma":0.00001127391,"domain_scores_codex":[0.9976416,0.0001868694,0.0004315471,0.0001018236,0.0006317674,0.001006409],"domain_scores_gemma":[0.9986914,0.0005491436,0.0003331906,0.0001742997,0.000173816,0.00007819069],"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":[0.000005526627,0.00004199596,0.4002114,2.228878e-7,0.00002756343,3.726053e-8,0.0001299447,0.0002143396,0.0006889345,0.5813801,0.00007589588,0.0172241],"study_design_scores_gemma":[0.0001627142,0.00004994078,0.2378543,0.000001375814,0.0000134345,0.00006934257,0.001867308,0.00007970236,0.0002258577,0.7479295,0.01166877,0.00007781162],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9641619,0.0008100611,0.03206808,0.0008737039,0.0001253545,0.00003989901,0.00000101272,0.00001125827,0.001908762],"genre_scores_gemma":[0.9917327,0.0001142556,0.0003637534,0.00007850005,0.0001632555,0.000003111632,0.000001181269,0.000006567958,0.007536697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1665494,"threshold_uncertainty_score":0.3149263,"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."}}