{"id":"W2012452553","doi":"10.1590/permusi2015a3103","title":"Gesto na performance da percussão, Parte 2: análise fatorial de correspondências de dados experimentais","year":2015,"lang":"pt","type":"article","venue":"Per Musi","topic":"Multisensory perception and integration","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Physics; Philosophy","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":[0.003918892,0.000980493,0.0008342111,0.0007557498,0.0008909145,0.001798311,0.0008522869,0.0009581631,0.006426144],"category_scores_gemma":[0.02888261,0.0004973085,0.0005947318,0.0007808324,0.001269298,0.001070927,0.002716671,0.0009933331,0.0007831193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003604216,"about_ca_system_score_gemma":0.0004471643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001038321,"about_ca_topic_score_gemma":0.001259456,"domain_scores_codex":[0.9969434,0.0009439855,0.0003185339,0.0006559876,0.0009695053,0.000168585],"domain_scores_gemma":[0.9853228,0.009837674,0.001086918,0.001924342,0.001419407,0.0004088105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004376466,0.001514033,0.0499038,0.002474281,0.0004047033,0.0005327988,0.02848691,0.004284034,0.7261293,0.003117145,0.001733357,0.1770432],"study_design_scores_gemma":[0.0003383469,0.01201704,0.7209665,0.0004593538,0.0005947406,0.001503587,0.01776232,0.01405417,0.1980066,0.009021663,0.02480728,0.0004683872],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615836,0.0003077251,0.03032419,0.0001544945,0.0001041107,0.0005563432,0.0005579957,0.0002402183,0.006171474],"genre_scores_gemma":[0.9597285,0.0003367935,0.03268102,0.0001179514,0.00004634645,0.001270268,0.000594722,0.0001968217,0.005027527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006426144,"threshold_uncertainty_score":0.02149761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1349326312261631,"score_gpt":0.3880714834494221,"score_spread":0.253138852223259,"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."}}