{"id":"W7095239840","doi":"","title":"ENGLISH-LANGUAGE RADIO DRAMA: A COMPARISON OF CENTRAL & REGIONAL PRODUCTION UNITS","year":2016,"lang":"en","type":"article","venue":"","topic":"Radio, Podcasts, and Digital Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drama; Context (archaeology); Radio broadcasting; Production (economics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00131307,0.0002596301,0.0003096224,0.002716484,0.00566954,0.005153608,0.001240093,0.0003853446,0.006313126],"category_scores_gemma":[0.003872881,0.0002419319,0.0001542527,0.004545372,0.004649067,0.001014567,0.002757991,0.0005681704,0.0005680191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02566667,"about_ca_system_score_gemma":0.018312,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7579169,"about_ca_topic_score_gemma":0.9148293,"domain_scores_codex":[0.998284,0.00034246,0.00005625691,0.0001815066,0.0003887151,0.0007469751],"domain_scores_gemma":[0.9968652,0.0006286552,0.0003734682,0.0001278668,0.001237987,0.000766761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003567803,0.00004630369,0.0428155,0.0003838617,0.00003022565,0.001646947,0.8821306,0.0002283786,0.002310305,0.0136703,0.005602411,0.05077847],"study_design_scores_gemma":[0.000014124,0.00006854967,0.2732757,0.0002907004,0.00002607913,0.0004378399,0.6321094,0.00009214809,0.0005668004,0.0002258816,0.09286691,0.00002606556],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8706486,0.005107076,0.0003050991,0.001031212,0.00004256698,0.000048077,0.0004485,0.00003582644,0.122333],"genre_scores_gemma":[0.9878178,0.001433137,0.0001535184,0.0000951598,0.00001176124,0.00002258748,0.0001984807,0.00003071355,0.01023683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7579169,"threshold_uncertainty_score":0.4870175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06347501459373059,"score_gpt":0.3209643880919237,"score_spread":0.2574893734981931,"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."}}