{"id":"W4396600612","doi":"","title":"Détection automatique de propos misogynes en ligne: le cas de Reddit et des communautés Incels","year":2024,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science","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":[0.0003880053,0.0007574286,0.0004030003,0.00180284,0.00112237,0.001567286,0.0004780313,0.001509958,0.004047481],"category_scores_gemma":[0.002377896,0.0003546327,0.0004230496,0.0008658734,0.000475424,0.0007377083,0.0006773285,0.0009815645,0.001198026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005616918,"about_ca_system_score_gemma":0.0007632512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01596185,"about_ca_topic_score_gemma":0.02513858,"domain_scores_codex":[0.999345,0.00004954694,0.0000318126,0.0001904456,0.000277822,0.0001054152],"domain_scores_gemma":[0.9979888,0.0009225016,0.0001888059,0.0001910084,0.0005690309,0.0001397797],"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":[0.001883558,0.0004203808,0.1841886,0.0006813535,0.0002154247,0.06309095,0.005314239,0.03288486,0.3232434,0.01317024,0.02196385,0.3529432],"study_design_scores_gemma":[0.000119313,0.0004047269,0.1377256,0.0002149275,0.0003426808,0.03777436,0.004190498,0.4028265,0.3185843,0.005937294,0.09167388,0.0002059971],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9080169,0.00107069,0.07272386,0.0009730423,0.0002554474,0.00008612718,0.001105942,0.004027905,0.01174008],"genre_scores_gemma":[0.938183,0.0003194593,0.04168617,0.0001378184,0.00005815295,0.00003867075,0.001011712,0.0003833194,0.01818177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01596185,"threshold_uncertainty_score":0.03173792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284767462010348,"score_gpt":0.2805355347622043,"score_spread":0.2676878601421008,"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."}}