{"id":"W4385354955","doi":"10.1016/b978-0-443-15548-2.00006-5","title":"Development and maturation aspects of predictive coding","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Mismatch negativity; Predictive coding; Novelty; Psychology; Neuroscience; Brainstem; Biology; Coding (social sciences); Cognitive psychology; Electroencephalography","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":[0.0002401917,0.000326711,0.0001491675,0.0004633392,0.0002459693,0.002119382,0.0006199077,0.0006700931,0.0159282],"category_scores_gemma":[0.001002694,0.0002824862,0.0001682721,0.0004116089,0.001061878,0.002169929,0.0004696276,0.001279582,0.004885468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006017878,"about_ca_system_score_gemma":0.0005094765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001206504,"about_ca_topic_score_gemma":0.001854223,"domain_scores_codex":[0.9999285,0.000007871386,0.000004197151,0.00002049829,0.00003212292,0.000006892172],"domain_scores_gemma":[0.9996889,0.0001569878,0.00002301142,0.00003950496,0.00006606568,0.00002562237],"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":[0.00004314463,0.00002374765,0.001052505,0.0002046537,0.00001162595,0.0006144895,0.0007929464,0.002006011,0.04969911,0.4985763,0.01208879,0.4348866],"study_design_scores_gemma":[0.000009668381,0.0000714323,0.01165404,0.0003990112,0.00002330652,0.003220164,0.0004767504,0.009252726,0.02630563,0.4890616,0.4594742,0.00005159104],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.03230906,0.03403683,0.1030602,0.002064371,0.0007312832,0.00003169828,0.0003809895,0.0004637822,0.8269218],"genre_scores_gemma":[0.3623203,0.03487716,0.05851447,0.0005984915,0.0006785998,0.00009538866,0.0007152989,0.0006125475,0.5415877],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0159282,"threshold_uncertainty_score":0.05328518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04953382671498666,"score_gpt":0.2643976509064003,"score_spread":0.2148638241914137,"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."}}