{"id":"W2955618433","doi":"10.22230/cjc.2019v44n2a3117","title":"The LTTV Consultations: Mapping Old and New Interests in Television Today","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"CLARITY; Stakeholder; Infographic; Advertising; Consistency (knowledge bases); Intersection (aeronautics); Public relations; Process (computing); Distribution (mathematics); Marketing; Political science; Sociology; Computer science; Business; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001795106,0.0002763981,0.0002118603,0.005401689,0.009608939,0.006891207,0.0008334661,0.001571834,0.007512561],"category_scores_gemma":[0.006326895,0.0002379289,0.0001864742,0.006427828,0.005698162,0.003949516,0.003460813,0.002114695,0.0004729786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0189695,"about_ca_system_score_gemma":0.01035634,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5921021,"about_ca_topic_score_gemma":0.7719399,"domain_scores_codex":[0.997186,0.001166477,0.00004558697,0.0001870344,0.0005926751,0.0008222461],"domain_scores_gemma":[0.9955805,0.002778881,0.0003685709,0.0001192304,0.0006138886,0.0005388383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001135515,0.00002323696,0.01179963,0.0001270997,0.000007440532,0.0005507316,0.9313676,0.0001130056,0.001850429,0.01836705,0.005445173,0.03023508],"study_design_scores_gemma":[0.000003991744,0.00002083275,0.03198176,0.0001355306,0.000008251523,0.0001751574,0.9076544,0.0002448321,0.0005224843,0.001365523,0.0578594,0.00002795229],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8232677,0.001053554,0.002868315,0.007333017,0.00009216018,0.0001000304,0.0009743701,0.00006416232,0.1642467],"genre_scores_gemma":[0.9867944,0.0004672156,0.001090912,0.0004545613,0.00003989808,0.00006157464,0.0002838442,0.00003772316,0.01076983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4078979,"threshold_uncertainty_score":0.8206003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04259591090801088,"score_gpt":0.3062996612604124,"score_spread":0.2637037503524016,"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."}}