{"id":"W4385255913","doi":"10.1101/2023.07.21.550031","title":"Mobile version of the Battery for the Assessment of Auditory Sensorimotor and Timing Abilities (BAASTA): Implementation and adult norms","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université de Montréal; International Laboratory for Brain, Music and Sound Research; Centre for Research on Brain Language and Music","funders":"Natural Sciences and Engineering Research Council of Canada; Société d'Accélération du Transfert de Technologies","keywords":"Rhythm; Audiology; Normative; Psychology; Population; Cognitive psychology; Finger tapping; Computer science; Perception; Neuroscience; Medicine","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":[0.005043478,0.001317282,0.0008643138,0.002606761,0.0007972471,0.00116351,0.001298576,0.001069681,0.01384849],"category_scores_gemma":[0.01348711,0.0004789157,0.000848651,0.001450395,0.0005381433,0.00117053,0.001670664,0.00117134,0.01099295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004982404,"about_ca_system_score_gemma":0.0008525415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002545957,"about_ca_topic_score_gemma":0.004871454,"domain_scores_codex":[0.9951462,0.001160826,0.001272398,0.0007618078,0.00141865,0.0002399598],"domain_scores_gemma":[0.9908624,0.001366993,0.0008571711,0.0008786547,0.005649412,0.0003853395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.004963009,0.004743124,0.3844465,0.001929446,0.0004067032,0.001806848,0.004784032,0.002868718,0.02766908,0.005286795,0.1386413,0.4224544],"study_design_scores_gemma":[0.0006742863,0.004344126,0.8351138,0.0006629057,0.0002020481,0.004705765,0.001598132,0.004352121,0.0111147,0.004003405,0.1329679,0.0002608224],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6818442,0.00137571,0.1127897,0.00122019,0.0009750237,0.02910858,0.1171511,0.003979647,0.05155582],"genre_scores_gemma":[0.5038598,0.001476356,0.220979,0.001333151,0.0004491221,0.1111629,0.1208993,0.001574746,0.03826566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01384849,"threshold_uncertainty_score":0.04632777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03237257839203438,"score_gpt":0.2925408481591851,"score_spread":0.2601682697671507,"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."}}