{"id":"W4321370272","doi":"10.21203/rs.3.rs-2574771/v1","title":"Neurofunctional Differences Between the Processing of Short and Long Auditory Time Intervals","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Psychology; Deviance (statistics); Dissociation (chemistry); Time perception; Magnetoencephalography; Oddball paradigm; Audiology; Perception; Auditory cortex; Electroencephalography; Mismatch negativity; Posterior cingulate; Neuroscience; Event-related potential; Functional magnetic resonance imaging; Medicine; 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":[0.0002813777,0.0002312869,0.0001565592,0.0003019871,0.0001273456,0.0004263958,0.000124296,0.0002469805,0.00309152],"category_scores_gemma":[0.00193399,0.0001132577,0.0001023169,0.0001419166,0.0002843577,0.000308966,0.0003117863,0.0001805232,0.0002051299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009876941,"about_ca_system_score_gemma":0.00008386846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004004326,"about_ca_topic_score_gemma":0.0005393742,"domain_scores_codex":[0.9998908,0.00001567941,0.000008200708,0.0000420217,0.00002603887,0.00001729876],"domain_scores_gemma":[0.9992506,0.0003259173,0.0001939499,0.00005355574,0.00008889992,0.0000870912],"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":[0.001604588,0.00008920956,0.0274943,0.0001197952,0.00003888019,0.0002175832,0.0005947131,0.0002092479,0.9522919,0.00037081,0.00008174705,0.01688732],"study_design_scores_gemma":[0.00004286367,0.0004074332,0.972864,0.00001150201,0.00002485405,0.0005198981,0.0002943209,0.001320099,0.02325659,0.0009095686,0.0003351788,0.00001367645],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99803,0.00007744577,0.001136558,0.00001252496,0.000004347055,0.000009017595,0.00005676286,0.00001048058,0.0006628076],"genre_scores_gemma":[0.9990718,0.00002373268,0.0005458118,0.000008802094,0.000004501105,0.000008138053,0.00006125191,0.000008227827,0.0002676405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00309152,"threshold_uncertainty_score":0.01034212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2509256938343145,"score_gpt":0.4291098502257282,"score_spread":0.1781841563914137,"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."}}