{"id":"W2408996215","doi":"10.22230/cjc.2016v41n2a3008","title":"L’industrie canadienne de la télévision face au développement du multi-écrans","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Context (archaeology); Summative assessment; Face (sociological concept); Order (exchange); Political science; Sociology; Business; Geography; Social science; Pedagogy; Formative assessment","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":[0.002235186,0.0004552013,0.0001880924,0.001855402,0.00567711,0.007699358,0.0008919894,0.001115715,0.01166421],"category_scores_gemma":[0.004843966,0.0002224537,0.0002982927,0.002619172,0.003277206,0.001996015,0.00168727,0.001692547,0.00116234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03752404,"about_ca_system_score_gemma":0.05122525,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8940071,"about_ca_topic_score_gemma":0.9140018,"domain_scores_codex":[0.996901,0.0003191412,0.00004969868,0.0003191951,0.001668482,0.0007424956],"domain_scores_gemma":[0.9942983,0.001149013,0.0004190543,0.0002606359,0.002627008,0.001246087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002217908,0.0001818473,0.0928296,0.0008819488,0.00005514117,0.002599409,0.1057365,0.002152099,0.02274588,0.2190533,0.02730678,0.5262356],"study_design_scores_gemma":[0.00001122026,0.00008659939,0.1661911,0.0006512458,0.00003583027,0.00079042,0.04797703,0.0009002112,0.004987335,0.003256799,0.775016,0.00009627335],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4683107,0.01480062,0.006159669,0.02300471,0.0003269951,0.00007521332,0.0004357146,0.0001587612,0.4867275],"genre_scores_gemma":[0.9135804,0.006713717,0.003354188,0.0007849403,0.00006437084,0.00002985385,0.0001952826,0.00004845237,0.07522883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1059929,"threshold_uncertainty_score":0.2722572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05348158623321299,"score_gpt":0.2996872926808554,"score_spread":0.2462057064476424,"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."}}