{"id":"W7128113325","doi":"","title":"L'intelligence artificielle pour la classification automatisée des textes courts issus de la vigie psychosociale : des méthodes classiques aux grands modèles de langage","year":2025,"lang":"fr","type":"other","venue":"Sémaphore (Université du Québec à Rimouski)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Linguistic analysis; Backward chaining","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":[0.003567079,0.00189575,0.001292391,0.003032685,0.0008685791,0.003683386,0.001889519,0.002354927,0.004842371],"category_scores_gemma":[0.009813764,0.0006024374,0.002055371,0.001920682,0.0009208487,0.002349061,0.001184779,0.002568927,0.003756761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001497105,"about_ca_system_score_gemma":0.001644457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02413299,"about_ca_topic_score_gemma":0.01886513,"domain_scores_codex":[0.9973968,0.0007780258,0.0002475181,0.0008533557,0.0005560697,0.0001681696],"domain_scores_gemma":[0.9947201,0.003283354,0.0002377631,0.0004910815,0.001154225,0.0001134845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003425774,0.0001894794,0.008315051,0.000385288,0.000291744,0.0002678591,0.0008419715,0.04205123,0.01854732,0.003189908,0.006560109,0.9190175],"study_design_scores_gemma":[0.00002705819,0.0001451776,0.007308584,0.0001540694,0.0001061272,0.0002916872,0.0004807825,0.9632173,0.01067781,0.00504648,0.01249279,0.00005220903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05220055,0.001816086,0.9349661,0.0008650713,0.0003309248,0.0003317411,0.001015388,0.005073084,0.003401094],"genre_scores_gemma":[0.3363567,0.001172433,0.6439742,0.00052349,0.0002314685,0.0006923816,0.002719061,0.0004202261,0.01391009],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02413299,"threshold_uncertainty_score":0.04798508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02529983918096571,"score_gpt":0.27463035092567,"score_spread":0.2493305117447042,"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."}}