{"id":"W2938038604","doi":"10.3819/ccbr.2019.140011","title":"Probability Learning by Perceptrons and People","year":2022,"lang":"en","type":"article","venue":"Comparative Cognition & Behavior Reviews","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perceptron; Margin (machine learning); White (mutation); Animal learning; Psychology; Artificial intelligence; Mathematics education; Cognitive psychology; Computer science; Machine learning; Biology; Artificial neural network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003061932,0.0001362296,0.0002781092,0.00002909248,0.0007606036,0.00009015603,0.0002912524,0.00001481369,0.0003122104],"category_scores_gemma":[0.00001054101,0.0001277585,0.00007027459,0.0003911235,0.00005413195,0.0002181766,0.0003178296,0.0003190559,0.00006174112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003700523,"about_ca_system_score_gemma":0.00001609435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005505613,"about_ca_topic_score_gemma":0.000008475117,"domain_scores_codex":[0.9985468,0.0004293085,0.0002795552,0.0004180965,0.0001551975,0.0001710747],"domain_scores_gemma":[0.9994014,0.00006148669,0.0001484334,0.0002424813,0.00005954173,0.00008665623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002935084,0.003355905,0.03383816,0.0001587169,0.00003523168,0.000009766938,0.01195809,0.0003225071,0.04729967,0.02873405,0.197571,0.6766876],"study_design_scores_gemma":[0.0005321919,0.0003838713,0.03207056,0.00003418636,0.00009996531,0.00006961454,0.0003867179,0.005843258,0.0003298884,0.001753235,0.9578858,0.0006106922],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8709018,0.01207963,0.1076848,0.001442991,0.0002276545,0.004642583,0.00006774339,0.0003668299,0.002585894],"genre_scores_gemma":[0.9932643,0.0004775845,0.002551893,0.0002291574,0.00001948541,0.003004809,0.00009303175,0.000005751323,0.0003540227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7603148,"threshold_uncertainty_score":0.5850025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1226079152482652,"score_gpt":0.3369039865798235,"score_spread":0.2142960713315583,"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."}}