{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009495611,0.00007075731,0.0001142356,0.00001382431,0.001083825,0.00007558613,0.0002015377,0.00009145308,0.00004934841],"category_scores_gemma":[0.0002959411,0.00004982147,0.00006973827,0.0003080101,0.0003464354,0.0001896405,0.00008048421,0.0001186773,0.00005556395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006461608,"about_ca_system_score_gemma":0.0001162281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009702875,"about_ca_topic_score_gemma":0.002185892,"domain_scores_codex":[0.9990742,0.00009838217,0.000146394,0.0001223085,0.0003611824,0.0001975967],"domain_scores_gemma":[0.9989673,0.0006348821,0.00008448332,0.0001792167,0.00004667617,0.00008744803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000106151,0.000009930193,0.0004478411,0.000008254778,0.00003671813,2.094537e-7,0.7462986,0.00001185343,0.00003469754,0.04446302,0.1498953,0.05878299],"study_design_scores_gemma":[0.002910984,0.00001966037,0.01983771,0.00003845031,0.00007727083,9.106969e-7,0.1412463,0.01209677,0.00004931889,0.02049009,0.8029732,0.0002593794],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7912058,0.006493097,0.001125759,0.162021,0.00296652,0.00199556,0.00001428162,0.001227638,0.03295041],"genre_scores_gemma":[0.9606521,0.03228705,0.001073697,0.0007759755,0.001539227,0.0000756729,0.00008807932,0.00001779871,0.003490412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6530779,"threshold_uncertainty_score":0.8336018,"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."}}