{"id":"W4411928997","doi":"10.4000/14901","title":"Quelques pistes pour une approche fonctionnelle des titres de séries télévisées contemporaines","year":2025,"lang":"fr","type":"article","venue":"Belphégor","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Philosophy; Humanities; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009420279,0.001518325,0.0006276688,0.007752991,0.005121615,0.01436476,0.002088542,0.002344141,0.02549556],"category_scores_gemma":[0.04064914,0.0009961772,0.001081099,0.004982679,0.008996131,0.01856688,0.003839798,0.002766172,0.00486517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005896427,"about_ca_system_score_gemma":0.002953559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007724817,"about_ca_topic_score_gemma":0.01307676,"domain_scores_codex":[0.9877007,0.007061868,0.0005592631,0.002359864,0.001956284,0.0003620548],"domain_scores_gemma":[0.9855574,0.008254169,0.001086743,0.001859993,0.002844306,0.0003974292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002231499,0.00004974335,0.01089094,0.0006140651,0.00008385154,0.0003797632,0.09828316,0.001822215,0.006216769,0.6571223,0.005251416,0.2190626],"study_design_scores_gemma":[0.00006766219,0.0002596007,0.01740313,0.001838031,0.0002643597,0.00165162,0.1236046,0.0154428,0.01237135,0.3254298,0.501457,0.0002100117],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0978885,0.004381032,0.6408542,0.01107646,0.0008530533,0.000493482,0.0006362979,0.001438832,0.2423781],"genre_scores_gemma":[0.7108733,0.002027442,0.2348875,0.0006235242,0.0003601178,0.0005645175,0.0004812686,0.0008952641,0.04928693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02549556,"threshold_uncertainty_score":0.08529115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03772609553045166,"score_gpt":0.2943019543524006,"score_spread":0.256575858821949,"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."}}