{"id":"W7133486535","doi":"10.20495/seas.11.2_331","title":"Giang Nguyen-Thu. <i>Television in Post-Reform Vietnam: Nation, Media, Market</i>","year":2022,"lang":"en","type":"article","venue":"Southeast Asian studies","topic":"Vietnamese History and Culture Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Government (linguistics); Production (economics)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002578001,0.0001131157,0.00006181726,0.0002709871,0.001616344,0.001897122,0.0002178668,0.0004343693,0.007218295],"category_scores_gemma":[0.0003660512,0.00009985963,0.00005316931,0.0008281482,0.001148052,0.001128998,0.000415591,0.0008860864,0.0003354616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00255021,"about_ca_system_score_gemma":0.002417567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05759772,"about_ca_topic_score_gemma":0.09837658,"domain_scores_codex":[0.9998957,0.00004980017,0.000002663955,0.000009959435,0.00001665921,0.00002526644],"domain_scores_gemma":[0.9998036,0.00007369283,0.00003375445,0.000004927357,0.00002881002,0.00005528051],"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":[0.00009622687,0.0001370765,0.03764471,0.001006616,0.00001601099,0.002587334,0.3665236,0.000466359,0.002444985,0.2475529,0.2037261,0.137798],"study_design_scores_gemma":[0.000009705335,0.00005951286,0.04502023,0.0004292685,0.00001175991,0.0002759728,0.2471394,0.000390875,0.0008844911,0.003492212,0.7022743,0.00001221028],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.469692,0.03293258,0.0008928644,0.08060583,0.002810978,0.00008525371,0.0006018998,0.00005679133,0.4123218],"genre_scores_gemma":[0.8471033,0.01363672,0.0003329266,0.001758789,0.0002018241,0.00004283181,0.0001670579,0.00004157935,0.136715],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05759772,"threshold_uncertainty_score":0.114525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0198429591036596,"score_gpt":0.2725462373524453,"score_spread":0.2527032782487857,"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."}}