{"id":"W1512035273","doi":"10.18617/liinc.v3i2.228","title":"Políticas de comunicação, governo Lula e TV digital","year":2017,"lang":"pt","type":"article","venue":"Liinc em Revista","topic":"Cultural, Media, and Literary Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Presidency; Humanities; Political science; Political communication; Politics; Art","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002175926,0.0004936776,0.0007048936,0.00004290607,0.002802951,0.008590785,0.001096147,0.0001330243,0.002077928],"category_scores_gemma":[0.0004445602,0.0003996064,0.0004108145,0.00002495212,0.0008223213,0.001176515,0.0006974472,0.0004321217,0.0009045076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000115079,"about_ca_system_score_gemma":0.0000699798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004067174,"about_ca_topic_score_gemma":0.0004229936,"domain_scores_codex":[0.9977441,0.00007782465,0.0005648156,0.0004947058,0.0003910236,0.0007274784],"domain_scores_gemma":[0.9974445,0.0001772653,0.0004552405,0.00149309,0.0001478128,0.0002820765],"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":[0.0001355154,0.0004268101,0.01585487,0.000897954,0.0007116813,0.0003395438,0.1826667,3.940384e-7,0.00001099177,0.382531,0.4005006,0.01592395],"study_design_scores_gemma":[0.0005645344,0.0001498608,0.009574007,0.0005765627,0.0001774075,0.00002303481,0.01355361,0.00004864201,0.000003355446,0.0004877543,0.9742809,0.0005603636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3985142,0.03146607,0.000009476713,0.008825301,0.002542138,0.0007504654,0.002297446,0.0002189535,0.5553759],"genre_scores_gemma":[0.7207369,0.0009821181,0.00001245375,0.0005396481,0.002144603,0.00001125667,0.00008131461,0.00004110995,0.2754506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5737803,"threshold_uncertainty_score":0.9998734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04082335847340139,"score_gpt":0.2828043123057313,"score_spread":0.2419809538323299,"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."}}