{"id":"W4312862253","doi":"10.1145/3555858.3555947","title":"PreGLAM-MMM","year":2022,"lang":"en","type":"article","venue":"","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Musical; Generative grammar; Computer science; Perception; Immersion (mathematics); Multimedia; Preference; Music perception; Generative model; Action (physics); Human–computer interaction; Speech recognition; Artificial intelligence; Psychology; Mathematics; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.00008566159,0.00002912575,0.00003981475,0.00003101136,0.0003275986,0.00001092258,0.000513054,0.000009136336,0.0002452723],"category_scores_gemma":[0.000006489309,0.00002526699,0.00001662694,0.0001597239,0.00001998563,0.0000528026,0.0008218632,0.00008182786,0.00002903308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001144794,"about_ca_system_score_gemma":0.00001050108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000644998,"about_ca_topic_score_gemma":0.000003916316,"domain_scores_codex":[0.9996446,0.00001664702,0.00004297336,0.000119963,0.00008540562,0.00009038025],"domain_scores_gemma":[0.9997098,0.0000181802,0.00001051724,0.000246404,0.000006022615,0.000009119907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[3.664339e-7,0.00001502158,0.0004548041,4.576887e-7,0.00000524159,0.000006103651,0.0005337939,0.000006421817,0.00001530378,0.952883,0.03440999,0.0116695],"study_design_scores_gemma":[0.0001380798,0.0000830695,0.002374344,3.395514e-7,0.000001187188,0.00002990227,0.0002422764,0.002796629,0.0001376953,0.09686789,0.897223,0.0001055636],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05264779,0.0004286404,0.525814,0.01718474,0.001163273,0.0001340084,0.000001104115,0.00161591,0.4010105],"genre_scores_gemma":[0.9775323,0.00000227867,0.008722138,0.001234389,0.000009355125,0.00003628331,1.634465e-7,0.000001162187,0.01246189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9248846,"threshold_uncertainty_score":0.268556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0127140390714964,"score_gpt":0.2141339701088688,"score_spread":0.2014199310373724,"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."}}