{"id":"W4210666774","doi":"10.5325/jinfopoli.6.2016.332","title":"Introduction to the Special Issue: Gendering Global Media Policy: Critical Perspectives on “Digital Agendas”","year":2016,"lang":"en","type":"article","venue":"Journal of Information Policy","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Political science; Digital media; Sociology; Media policy; Media studies; Law; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003439777,0.002217483,0.001472799,0.003052913,0.005792525,0.01282807,0.003087466,0.01429873,0.0503226],"category_scores_gemma":[0.009554046,0.0005916767,0.001284928,0.003149952,0.005947874,0.0118854,0.006344447,0.01433878,0.01350859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003966693,"about_ca_system_score_gemma":0.004413131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002696329,"about_ca_topic_score_gemma":0.004595399,"domain_scores_codex":[0.997438,0.0008355833,0.000182841,0.0004782811,0.0008126035,0.0002526572],"domain_scores_gemma":[0.989324,0.007128813,0.0004579978,0.0004132121,0.001453745,0.00122227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009279905,0.00001733527,0.00007314583,0.0002198356,0.000002801162,0.00004410633,0.0004515347,0.00002363327,0.00005616233,0.01183412,0.9771096,0.01015847],"study_design_scores_gemma":[0.000003602215,0.00001109885,0.0002612216,0.0006331226,0.000002954501,0.00005473148,0.0005054387,0.00003823779,0.00002757179,0.006520509,0.991933,0.000008446663],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0003494424,0.07086714,0.00106196,0.3032864,0.5754504,0.00008585762,0.0003187857,0.00008851421,0.04849146],"genre_scores_gemma":[0.005963203,0.05758601,0.0009027185,0.0927519,0.7642355,0.0002361361,0.0004345191,0.0002419061,0.07764813],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.0503226,"threshold_uncertainty_score":0.1683459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0080078867968767,"score_gpt":0.2733251088237351,"score_spread":0.2653172220268584,"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."}}