{"id":"W3047255104","doi":"10.7202/1070817ar","title":"Feintise et travestissement : la BD maquillée","year":2020,"lang":"fr","type":"article","venue":"Recherches sémiotiques","topic":"Comics and Graphic Narratives","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001050311,0.0004035445,0.0004661935,0.00008085953,0.0002397206,0.0005822402,0.0003160243,0.0003060719,0.0020421],"category_scores_gemma":[0.0003331044,0.000395883,0.0002771521,0.0001148375,0.0006270968,0.0003190098,0.0001402464,0.0008731652,0.0001555999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001244233,"about_ca_system_score_gemma":0.0002192771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001601683,"about_ca_topic_score_gemma":0.001142095,"domain_scores_codex":[0.9971247,0.001262577,0.0004665545,0.0005003048,0.0002153277,0.0004304986],"domain_scores_gemma":[0.9984215,0.0007231074,0.0001523056,0.0002534107,0.0001334765,0.0003162235],"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":[0.000048743,0.0001966929,0.0001714394,0.0002709226,0.0001738809,0.00004927891,0.1053045,0.000006027758,0.0004952012,0.8319208,0.03958159,0.02178094],"study_design_scores_gemma":[0.000371861,0.000502601,0.0009665741,0.0003399074,0.0000924746,0.000009278195,0.005097616,0.0004157128,0.001340109,0.04686794,0.9434885,0.0005074179],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07313264,0.05086076,0.001293919,0.4059995,0.001297588,0.0007789159,0.000330255,0.0003996318,0.4659068],"genre_scores_gemma":[0.8101299,0.03032883,0.005833395,0.008086207,0.002497578,0.0000507859,0.00006132366,0.0001637984,0.1428482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9039069,"threshold_uncertainty_score":0.9998493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2061276605641245,"score_gpt":0.3512150464323312,"score_spread":0.1450873858682067,"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."}}