{"id":"W4237883693","doi":"10.1002/0470018860.s00002","title":"Perceptron","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Cognitive Science","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Artificial intelligence; Pattern recognition (psychology)","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":[0.001672157,0.001024589,0.00120974,0.001149379,0.0005768481,0.002732252,0.001927955,0.001448242,0.04231244],"category_scores_gemma":[0.007359086,0.0004941334,0.00128265,0.001663316,0.0006823682,0.002446518,0.001156973,0.002001225,0.01660485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001012643,"about_ca_system_score_gemma":0.001631335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003181865,"about_ca_topic_score_gemma":0.004280919,"domain_scores_codex":[0.9985361,0.0004277598,0.0000909748,0.0003718656,0.0004114044,0.0001618814],"domain_scores_gemma":[0.9981554,0.0007855102,0.00008846235,0.0003855966,0.0004233618,0.0001617384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006711192,0.0002993704,0.002349577,0.0008099853,0.0003510993,0.0001881794,0.0000633316,0.1787744,0.002137443,0.06927482,0.2044625,0.5406181],"study_design_scores_gemma":[0.000144443,0.0001476591,0.0004368008,0.0001498111,0.00009315754,0.0001648754,0.00002641203,0.7933037,0.003524761,0.1355872,0.06637913,0.00004214995],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02541105,0.007514145,0.8553529,0.006814852,0.002606304,0.0003954915,0.009866914,0.01931499,0.07272327],"genre_scores_gemma":[0.4776044,0.00505636,0.3731911,0.003289102,0.001378511,0.0007755958,0.01934981,0.001876665,0.1174784],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04231244,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008173803214435053,"score_gpt":0.26791542490778,"score_spread":0.259741621693345,"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."}}