{"id":"W7104184113","doi":"","title":"Bave anthropophage : les baisers profonds de la bande dessinée (1900-2019 : France – Canada – Belgique)","year":2023,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Comics and Graphic Narratives","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feature (linguistics); Field (mathematics); Population; Reflection (computer programming)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005895588,0.0004437234,0.0002699384,0.001690634,0.005821891,0.003777853,0.0003811971,0.001114544,0.02029636],"category_scores_gemma":[0.0009721238,0.0002718408,0.000267165,0.00239699,0.002456386,0.00117956,0.001275016,0.001717605,0.001319367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01756313,"about_ca_system_score_gemma":0.01350015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8337397,"about_ca_topic_score_gemma":0.9088911,"domain_scores_codex":[0.9994925,0.00009975297,0.000009577211,0.00005469777,0.00009555795,0.0002479573],"domain_scores_gemma":[0.9996118,0.00008796121,0.00005583023,0.00001022875,0.00007612597,0.0001580544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000870462,0.0001883281,0.1198027,0.00103841,0.0001541822,0.004911642,0.3038375,0.001466514,0.004755762,0.2188966,0.1813235,0.1627544],"study_design_scores_gemma":[0.00001136497,0.00002361393,0.1149753,0.0002642281,0.00001443298,0.0004690173,0.05750577,0.00009120131,0.0003839371,0.0005040956,0.8257304,0.0000264937],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7434576,0.03172769,0.001088969,0.01691148,0.001153912,0.00005704071,0.004635749,0.0001300507,0.2008376],"genre_scores_gemma":[0.8433657,0.005366244,0.000584006,0.0005182127,0.0001363448,0.0000270011,0.0005937959,0.00008039365,0.1493283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1662603,"threshold_uncertainty_score":0.3344789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00975151101035103,"score_gpt":0.219935496533456,"score_spread":0.210183985523105,"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."}}