{"id":"W7051771388","doi":"","title":"From Piracy Panic to Platform Praise (and Back Again): Digitization's Impact on Making, Moving, and Monetizing Music in Canada","year":2021,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Music industry; Praise; Popular music; Power (physics); Creative industries; Popularity; Digital audio; Digitization; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000006682294,0.0003703301,0.0003447336,0.0005931495,0.0000821577,0.0002334597,0.0003402779,0.0001859679,0.0004174967],"category_scores_gemma":[0.000009920682,0.0004767892,0.00006418469,0.0008129752,0.00004464739,0.0005205605,0.0003219681,0.0002610913,0.0000322571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004006988,"about_ca_system_score_gemma":0.0003630861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03875981,"about_ca_topic_score_gemma":0.0833951,"domain_scores_codex":[0.9989266,0.00001338154,0.0001165084,0.0004685516,0.0001477526,0.0003271395],"domain_scores_gemma":[0.9991343,0.0001967294,0.00007594048,0.0002898464,0.000008730878,0.0002944492],"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":[0.0001032399,0.0001271132,0.02106343,0.0002125195,0.0004650586,0.001835572,0.0005154809,0.01256785,0.00001536203,0.003327463,0.9512116,0.008555341],"study_design_scores_gemma":[0.0005292337,0.00002783923,0.003466021,0.0007251773,0.00003704349,0.000003787207,0.001409469,0.001061324,0.00001506835,0.00004315486,0.9920378,0.0006441232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.284205,0.000210937,0.0001166899,0.00008653103,0.0001136255,0.0004080887,0.005285853,0.0002706965,0.7093026],"genre_scores_gemma":[0.8447506,0.0005866965,0.0007406027,0.0001597198,0.0001362898,4.514757e-7,0.002159974,0.000317117,0.1511485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5605457,"threshold_uncertainty_score":0.9997684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00865484786038074,"score_gpt":0.1568534941683136,"score_spread":0.1481986463079329,"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."}}