{"id":"W4393376050","doi":"10.3758/s13414-024-02874-x","title":"Audiovisual integration of rhythm in musicians and dancers","year":2024,"lang":"en","type":"article","venue":"Attention Perception & Psychophysics","topic":"Multisensory perception and integration","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rhythm; Psychology; Modality (human–computer interaction); Perception; Beat (acoustics); Multisensory integration; Visual perception; Auditory perception; Communication; Synchronizing; Synchronization (alternating current); Dance; Task (project management); Cognitive psychology; Audiology; Speech recognition; Computer science; Neuroscience; Artificial intelligence; Channel (broadcasting)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002282478,0.0001545793,0.000222717,0.0006771023,0.0001731598,0.0005589603,0.0001692461,0.0002819112,0.004503308],"category_scores_gemma":[0.002263847,0.0001260118,0.0001548527,0.0002335272,0.0002179667,0.0002775193,0.0004867762,0.0001869561,0.0004008206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001382785,"about_ca_system_score_gemma":0.0001148948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002969064,"about_ca_topic_score_gemma":0.00335284,"domain_scores_codex":[0.9998864,0.00002055629,0.000006691745,0.00002368153,0.00002612297,0.00003652839],"domain_scores_gemma":[0.9997243,0.0001173982,0.00003415435,0.00001676779,0.00005247662,0.00005479018],"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":[0.00628086,0.0001156626,0.03392088,0.0001743996,0.00009410641,0.0004433747,0.002531371,0.0002253295,0.8918216,0.0003212805,0.0004173988,0.06365368],"study_design_scores_gemma":[0.00008703227,0.000447355,0.9834353,0.00002288489,0.00005691219,0.0004356459,0.001291586,0.0009289624,0.01253492,0.0002320467,0.0005153815,0.0000120682],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976961,0.0001914846,0.0002727587,0.00002320373,0.000009422246,0.000008385924,0.00005485284,0.00001133404,0.001732376],"genre_scores_gemma":[0.998275,0.00009786855,0.0001834355,0.00002737113,0.00001100932,0.00000794062,0.00009032062,0.00001325936,0.001293653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004503308,"threshold_uncertainty_score":0.01506507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03799153230613062,"score_gpt":0.3708927819146893,"score_spread":0.3329012496085587,"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."}}