{"id":"W6913057169","doi":"10.5683/sp3/xd70ol","title":"Attentional Demands Influence Vocal Compensations to Pitch Errors Heard in Auditory Feedback.","year":2014,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Auditory feedback; Auditory perception; Auditory stimuli; Semitone; Entrainment (biomusicology); Perception; Visual perception; Visual feedback","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":[0.001502904,0.001033058,0.0007659237,0.001479987,0.0003918251,0.0009522975,0.001414291,0.0008400113,0.008414131],"category_scores_gemma":[0.007591371,0.0002941912,0.001191906,0.001255112,0.0002396944,0.0005241063,0.001389042,0.0006492825,0.006628338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00072666,"about_ca_system_score_gemma":0.0008744406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01774713,"about_ca_topic_score_gemma":0.02832577,"domain_scores_codex":[0.998996,0.000208452,0.0001726196,0.0003016082,0.0002033672,0.0001180522],"domain_scores_gemma":[0.9979831,0.0007822373,0.0003835592,0.0003859163,0.0003281526,0.0001370491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006698432,0.0005289212,0.1856015,0.007174563,0.00209228,0.0003795705,0.0006782366,0.004360561,0.01191315,0.001088148,0.7248586,0.05462603],"study_design_scores_gemma":[0.001395809,0.0003592977,0.5819998,0.0004435441,0.00101596,0.0006907843,0.0005618736,0.006098781,0.007318545,0.0009083636,0.3990337,0.0001735008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04942731,0.0006189046,0.0007438682,0.0001767794,0.00009794393,0.00009739549,0.9455178,0.001192568,0.002127455],"genre_scores_gemma":[0.05901321,0.0001448497,0.001396738,0.00005669912,0.00001829941,0.000504027,0.936372,0.0002348522,0.002259198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01774713,"threshold_uncertainty_score":0.03528768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818131886015543,"score_gpt":0.2913581385140304,"score_spread":0.2731768196538749,"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."}}