{"id":"W7133486535","doi":"10.20495/seas.11.2_331","title":"Giang Nguyen-Thu. &lt;i&gt;Television in Post-Reform Vietnam: Nation, Media, Market&lt;/i&gt;","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002563405,0.0003640823,0.0006204167,0.0002947401,0.005652186,0.00005134027,0.0005332735,0.0001101814,0.000887202],"category_scores_gemma":[0.0009416355,0.0003229473,0.0002380391,0.001137976,0.00084854,0.0003097325,0.0004788426,0.0004154879,0.0001281151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001151293,"about_ca_system_score_gemma":0.000238582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005153644,"about_ca_topic_score_gemma":0.0140661,"domain_scores_codex":[0.9959231,0.000882382,0.0005521143,0.000609827,0.001275044,0.0007575207],"domain_scores_gemma":[0.9987802,0.00009312086,0.0002340191,0.0003135227,0.0004216784,0.0001574425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002464553,0.0002494034,0.0005356242,0.00008302434,0.0003673834,0.00006645954,0.9090851,0.000007414758,0.0003015758,0.04459567,0.02873472,0.01572718],"study_design_scores_gemma":[0.0004788934,0.00009201167,0.003199827,0.00006214444,0.00005001101,0.00000380172,0.6084766,0.00000270101,0.000001225298,0.001969983,0.3853208,0.0003419037],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02396197,0.04541159,0.000009888047,0.03929518,0.0042287,0.001274279,0.0002484406,0.0004103326,0.8851596],"genre_scores_gemma":[0.9865592,0.0004372738,0.0001003607,0.0003145665,0.0006140504,0.0003311394,0.00002796277,0.00003830771,0.01157717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9625972,"threshold_uncertainty_score":0.9999223,"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."}}