{"id":"W3161399843","doi":"10.31234/osf.io/v5uxf","title":"VoiceLab: Automated Reproducible Acoustic Analysis","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Music and Audio Processing","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"A priori and a posteriori; Bottleneck; Computer science; Focus (optics); Software; Data science; Ask price; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003844975,0.0002925135,0.0005662529,0.0003115641,0.0001231604,0.000714931,0.001849859,0.0001995734,0.0001541145],"category_scores_gemma":[0.0001512887,0.0002583107,0.0002809792,0.002035877,0.0000334115,0.000204914,0.002977307,0.0004917617,0.0002247501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005158483,"about_ca_system_score_gemma":0.0003463031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001230645,"about_ca_topic_score_gemma":0.00001706394,"domain_scores_codex":[0.9969665,0.00006412518,0.0004195038,0.001821628,0.0004128404,0.0003153658],"domain_scores_gemma":[0.9972532,0.00004725456,0.0002902418,0.002088914,0.0001576829,0.0001626667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001752456,0.0004099294,0.002329868,0.002385458,0.007205886,0.0005539128,0.006603736,0.5579832,0.008661412,0.01538374,0.3342111,0.06425434],"study_design_scores_gemma":[0.00006207801,0.000009911099,0.001005439,0.000035332,0.0003838032,0.000002367508,0.000008932266,0.9918038,0.001214369,0.003869117,0.001253593,0.0003512444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001380529,0.0002414761,0.9675003,0.008012952,0.0005793751,0.0001454023,0.000003943314,0.004284802,0.01785122],"genre_scores_gemma":[0.8502291,0.00001900654,0.1446757,0.003089384,0.0002364687,0.00002133047,0.00003174082,0.00001793471,0.001679248],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8488486,"threshold_uncertainty_score":0.9999869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03848275551584891,"score_gpt":0.2921726550906339,"score_spread":0.253689899574785,"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."}}