{"id":"W1923988310","doi":"","title":"Psychology-based rhythmic transformations","year":2007,"lang":"en","type":"article","venue":"Canadian acoustics","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Music Media and Technology","funders":"","keywords":"Rhythm; Gestalt psychology; Pulse (music); Salient; Superposition principle; Psychology; Communication; Mathematics; Computer science; Physics; Artificial intelligence; Acoustics; Mathematical analysis; Telecommunications; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004444223,0.0002937974,0.0001678935,0.0007244484,0.0004468584,0.001353513,0.0004134206,0.0003646259,0.006153211],"category_scores_gemma":[0.002238303,0.0001924615,0.0005325231,0.0004565468,0.00276553,0.00182935,0.001222947,0.0009083304,0.0009630884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007891772,"about_ca_system_score_gemma":0.0004682888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006027659,"about_ca_topic_score_gemma":0.0005084903,"domain_scores_codex":[0.9995567,0.0001173446,0.00002614222,0.0001245876,0.000126372,0.00004876274],"domain_scores_gemma":[0.9995567,0.0001167624,0.00005272223,0.0001335974,0.0001008994,0.00003927834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008149567,0.000031304,0.0006601455,0.00007058057,0.00001949832,0.000127764,0.0008213282,0.005691684,0.03470908,0.8860729,0.001146662,0.07056755],"study_design_scores_gemma":[0.00004274757,0.000139277,0.007815809,0.00003954881,0.00002089744,0.0005601724,0.000588319,0.04377477,0.02404622,0.8591589,0.06375213,0.00006116123],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1097161,0.0008557317,0.6858209,0.001675557,0.0003507625,0.000115923,0.0001875955,0.001106887,0.2001705],"genre_scores_gemma":[0.849498,0.0004147101,0.134745,0.0004447419,0.00009498023,0.0001144514,0.0001541481,0.0002667653,0.01426719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006153211,"threshold_uncertainty_score":0.02058446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0416443145251038,"score_gpt":0.3072787767752463,"score_spread":0.2656344622501425,"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."}}