{"id":"W4387458723","doi":"10.1177/14614448231203616","title":"Google Radio Automation and the broadcast plights behind platformization","year":2023,"lang":"en","type":"article","venue":"New Media & Society","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Publicity; Consolidation (business); Automation; TRACE (psycholinguistics); Telecommunications; Radio broadcasting; Product (mathematics); Business; Advertising; Marketing; Computer science; Engineering","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":[0.00269169,0.0003217404,0.0001409914,0.001924462,0.006299491,0.01311238,0.0006479733,0.002001668,0.005345137],"category_scores_gemma":[0.00589778,0.0002430156,0.0002723085,0.00186122,0.0207616,0.01068172,0.004771704,0.003622524,0.0008464508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006899655,"about_ca_system_score_gemma":0.004936352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01970206,"about_ca_topic_score_gemma":0.01806017,"domain_scores_codex":[0.9964049,0.001161415,0.00008285163,0.0004211331,0.0011656,0.0007641233],"domain_scores_gemma":[0.9950836,0.002298964,0.0007362073,0.0004111024,0.0008586618,0.0006115182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005521871,0.00003123739,0.002581033,0.00005583248,0.000005731565,0.0003531426,0.04409675,0.000124075,0.0006245939,0.9203984,0.007402312,0.02427158],"study_design_scores_gemma":[0.00004467179,0.00009667943,0.01739534,0.0002909518,0.00002145065,0.000502864,0.0771402,0.0007737457,0.00195362,0.1937414,0.7079617,0.00007729413],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2525458,0.003410587,0.004114951,0.04425244,0.0005589408,0.00005823257,0.0000552544,0.0001409034,0.6948629],"genre_scores_gemma":[0.980317,0.001058883,0.000541165,0.001578064,0.0002460507,0.00001806148,0.00001616157,0.00005947935,0.01616516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01970206,"threshold_uncertainty_score":0.05006075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03530131355470139,"score_gpt":0.2920431367672712,"score_spread":0.2567418232125698,"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."}}