{"id":"W3180720334","doi":"10.1016/j.cortex.2021.06.008","title":"Optimizing steady-state responses to index statistical learning: Response to Benjamin and colleagues","year":2021,"lang":"en","type":"article","venue":"Cortex","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Entrainment (biomusicology); Interpretability; Psychology; Stimulus (psychology); Rhythm; Cognitive psychology; Artificial neural network; Artificial intelligence; Neural activity; Computer science; Neuroscience; Physics","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":[0.002389878,0.0006363146,0.0007115775,0.0002312331,0.000396817,0.001029694,0.0006862064,0.001587242,0.001588847],"category_scores_gemma":[0.01511535,0.0002675134,0.0003253223,0.0003984064,0.0005331435,0.001447926,0.0008320161,0.001560798,0.0004861546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008839003,"about_ca_system_score_gemma":0.0009527471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002627095,"about_ca_topic_score_gemma":0.001982806,"domain_scores_codex":[0.9995466,0.000182248,0.00002109273,0.0001440033,0.00008319074,0.00002290197],"domain_scores_gemma":[0.9972173,0.001940441,0.00006658545,0.0002165777,0.0004670323,0.00009199577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001842805,0.0003193997,0.00305073,0.0002415794,0.0002549177,0.0000970692,0.00027502,0.5667449,0.02448831,0.07758483,0.02037125,0.3047293],"study_design_scores_gemma":[0.00009028056,0.00009980156,0.0005945532,0.00001401177,0.00003361046,0.00003044014,0.00003602909,0.9434473,0.01083701,0.04108153,0.003704776,0.00003066355],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.1791359,0.005058937,0.7728344,0.02348671,0.0008437936,0.0001114529,0.0001846504,0.001010747,0.01733344],"genre_scores_gemma":[0.8415046,0.00163236,0.1419954,0.001585442,0.0005295277,0.0001412333,0.000132757,0.0003712334,0.01210745],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.002627095,"threshold_uncertainty_score":0.01263905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02809030324573794,"score_gpt":0.2865055152446976,"score_spread":0.2584152119989597,"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."}}