{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002919163,0.0001019617,0.0001950086,0.00007063359,0.0001345862,0.0000428596,0.0001927605,0.00008801057,0.0004099539],"category_scores_gemma":[0.001915711,0.00007091073,0.00005573427,0.0003404025,0.0004802948,0.0004392794,0.0000183485,0.0000686995,0.00008503925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000100348,"about_ca_system_score_gemma":0.0002268678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007560762,"about_ca_topic_score_gemma":0.00512608,"domain_scores_codex":[0.9985691,0.0001150293,0.0002451426,0.0002278943,0.0004701243,0.0003726798],"domain_scores_gemma":[0.9990835,0.0001703671,0.0001110542,0.0002113101,0.0002228753,0.0002009297],"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":[0.0001574789,0.0005509615,0.06960636,0.00004286752,0.0000676937,0.00000313892,0.4497409,0.00001083684,0.00515309,0.04976782,0.2940695,0.1308293],"study_design_scores_gemma":[0.0006451412,0.00005116412,0.006049726,0.00008902572,0.0000215598,0.000003426218,0.02965132,0.000003602606,0.002425655,0.0006598771,0.9600881,0.0003114487],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9167923,0.0002998888,0.0004088349,0.001879697,0.001628101,0.0002424791,0.000010325,0.0001469657,0.07859141],"genre_scores_gemma":[0.9749862,0.00005187449,0.0003144095,0.0000349308,0.001487131,0.000005917122,0.00001206053,0.000008901534,0.02309861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6660185,"threshold_uncertainty_score":0.4488707,"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."}}