{"id":"W4383552356","doi":"10.1101/2023.07.05.547865","title":"Mapping multi-modal dynamic network activity during naturalistic music listening","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Simon Fraser University","funders":"","keywords":"Psychology; Active listening; Perception; Cognitive psychology; Arousal; Brain activity and meditation; Task (project management); Electroencephalography; Speech recognition; Communication; Neuroscience; Computer science","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":[0.0003483755,0.0002019878,0.0001854799,0.0004503669,0.0001581982,0.0004315013,0.0001732322,0.0003188006,0.00145922],"category_scores_gemma":[0.00174089,0.0001364638,0.000231195,0.0003694116,0.0003144871,0.0002653917,0.0003226182,0.0002520766,0.0002122103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001400843,"about_ca_system_score_gemma":0.0001564308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002011882,"about_ca_topic_score_gemma":0.003593809,"domain_scores_codex":[0.9998556,0.00004569428,0.000005006816,0.00005209704,0.00002330377,0.00001821492],"domain_scores_gemma":[0.9997117,0.0001649856,0.00003734758,0.00002335657,0.0000338314,0.0000288168],"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":[0.001933421,0.0003928166,0.09263019,0.00058728,0.0004530606,0.0008201486,0.002526853,0.05016334,0.6802554,0.002243843,0.002114275,0.1658793],"study_design_scores_gemma":[0.00004940477,0.0003496639,0.7385635,0.00005161552,0.00008542307,0.0008312948,0.0006707956,0.2261522,0.02462374,0.00695871,0.001582841,0.00008080879],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9453894,0.0001133301,0.0519448,0.0001029811,0.00001657428,0.00007071427,0.000737882,0.0001989209,0.001425339],"genre_scores_gemma":[0.9850917,0.00006326738,0.01393421,0.00002394174,0.00001305253,0.00005139042,0.0003614675,0.0000331642,0.0004277249],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002011882,"threshold_uncertainty_score":0.004881561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04635953667013594,"score_gpt":0.2642158040735418,"score_spread":0.2178562674034059,"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."}}