{"id":"W4405203236","doi":"10.1162/imag_a_00413","title":"Mapping multi-modal dynamic network activity during naturalistic music listening","year":2024,"lang":"en","type":"article","venue":"Imaging Neuroscience","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto; Simon Fraser University","funders":"","keywords":"Modal; Active listening; Naturalism; Psychology; Computer science; Communication; Philosophy; Epistemology","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":[0.0002975264,0.0001976098,0.0001821777,0.000399708,0.0001656534,0.0004232006,0.0001803479,0.0003008454,0.0009813583],"category_scores_gemma":[0.001729693,0.000140867,0.0002437076,0.0003784795,0.0003156547,0.0003342709,0.0003409466,0.0002743299,0.0001776826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001545391,"about_ca_system_score_gemma":0.0001786497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002384228,"about_ca_topic_score_gemma":0.005266902,"domain_scores_codex":[0.9998471,0.00004293862,0.000005199328,0.0000588272,0.0000223704,0.00002350767],"domain_scores_gemma":[0.9997645,0.0001388328,0.00002708764,0.00001831844,0.00002841524,0.0000229517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001975866,0.0003837814,0.09753727,0.0005824817,0.0004242639,0.0009916696,0.003786193,0.04261798,0.6120642,0.002561234,0.002029158,0.2350459],"study_design_scores_gemma":[0.00004518161,0.0003556772,0.7576029,0.00006446367,0.0001087633,0.001224947,0.001020224,0.2061894,0.02440261,0.007096916,0.001807942,0.000081013],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9557207,0.0001591593,0.0414537,0.00009887194,0.00001645774,0.00006302196,0.0005272146,0.0001427152,0.001818269],"genre_scores_gemma":[0.9847942,0.000108799,0.01416118,0.00002769518,0.00001391624,0.00005286819,0.0003333778,0.00003550939,0.0004723582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002384228,"threshold_uncertainty_score":0.004740715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03852317491123129,"score_gpt":0.305812973379977,"score_spread":0.2672897984687457,"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."}}