{"id":"W2204554313","doi":"","title":"Dissociating Categorization Learning System: Overconfidence and Variations Learning Rates in Accuracy and Confidence Reports","year":2012,"lang":"en","type":"article","venue":"Proceedings of Fechner Day","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Categorization; Overconfidence effect; Psychology; Asymptote; Cognitive psychology; Representation (politics); Process (computing); Machine learning; Artificial intelligence; Computer science; Social psychology; Mathematics","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":[0.01236514,0.0004549159,0.0006190894,0.001710521,0.0003051097,0.00193521,0.0009009642,0.0009906461,0.001760578],"category_scores_gemma":[0.09818808,0.0005814196,0.0003673569,0.0007309073,0.001849576,0.002438559,0.002278586,0.00202352,0.0004089689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005498719,"about_ca_system_score_gemma":0.0004294669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001894661,"about_ca_topic_score_gemma":0.001297689,"domain_scores_codex":[0.9925586,0.001866786,0.0006960744,0.001506436,0.002883551,0.0004885431],"domain_scores_gemma":[0.9022038,0.06215366,0.01242685,0.01561474,0.005205028,0.002395819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003653164,0.001127648,0.6655429,0.0002602819,0.0002613261,0.0003668747,0.01481918,0.003235996,0.1843319,0.004035051,0.0004053241,0.1219604],"study_design_scores_gemma":[0.00002592495,0.0006527659,0.9698379,0.00001530417,0.00003953969,0.0002711529,0.0007258728,0.003478283,0.02291572,0.001656433,0.0003058686,0.00007524647],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889159,0.0001182841,0.007933058,0.00005220243,0.00001003921,0.00005630782,0.0001021709,0.00006883784,0.002743178],"genre_scores_gemma":[0.9968208,0.00002821999,0.002402373,0.00002762994,0.000006496207,0.00006433454,0.0001053184,0.0000360094,0.0005087861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01236514,"threshold_uncertainty_score":0.06539392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189446185305179,"score_gpt":0.2774189679545272,"score_spread":0.2655245061014754,"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."}}