{"id":"W2901416414","doi":"10.3917/telev.007.0031","title":"Intrigues et personnages des séries évolutives : quand l’improvisation devient une vertu","year":2016,"lang":"fr","type":"article","venue":"Télévision","topic":"Narrative Theory and Analysis","field":"Arts and Humanities","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safe Engineering Services & Technologies (Canada)","funders":"","keywords":"Humanities; Art; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001788778,0.0004092168,0.000219437,0.001355844,0.003458773,0.006795748,0.0007129221,0.0009299646,0.01193402],"category_scores_gemma":[0.007493621,0.0002301841,0.0003265142,0.001181106,0.01232124,0.007635244,0.002921129,0.001607575,0.0008980558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002148271,"about_ca_system_score_gemma":0.0008316261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001833766,"about_ca_topic_score_gemma":0.002488863,"domain_scores_codex":[0.9984072,0.0007949628,0.00004376233,0.0002779164,0.0003425649,0.0001335728],"domain_scores_gemma":[0.9964077,0.002092042,0.0003602492,0.0005715092,0.0003040885,0.0002644542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009425809,0.00001899623,0.002703308,0.0001338933,0.0000156778,0.0003412637,0.1839541,0.0005162347,0.001761174,0.7822518,0.001575741,0.02663345],"study_design_scores_gemma":[0.00004388833,0.0002510406,0.01280653,0.0004130115,0.00005698794,0.001575157,0.1703562,0.002891757,0.005242656,0.3418203,0.4644533,0.00008919716],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3627045,0.002506048,0.08210889,0.003644689,0.0004630537,0.0001371307,0.00017921,0.0002259523,0.5480304],"genre_scores_gemma":[0.9520932,0.0005502693,0.00597341,0.0001160769,0.0001149683,0.00008985037,0.00006634673,0.0001196721,0.04087625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01193402,"threshold_uncertainty_score":0.03992325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04922815631039022,"score_gpt":0.2785881519281911,"score_spread":0.2293599956178009,"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."}}