{"id":"W6996157737","doi":"","title":"Quand la BDQ questionne le français québécois : analyse des structures interrogatives totales dans les bandes dessinées québécoises après 1978","year":2024,"lang":"fr","type":"other","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interrogative word; Electrodiagnosis; Medical screening; Degenerative disease","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":[0.001330058,0.0003901045,0.0002947075,0.003032231,0.004776319,0.003768321,0.0005087432,0.0007625286,0.01328505],"category_scores_gemma":[0.003797366,0.0002424616,0.0001973957,0.005932478,0.002631918,0.001622415,0.00100699,0.0009344878,0.0008380472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02524934,"about_ca_system_score_gemma":0.0168109,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9709628,"about_ca_topic_score_gemma":0.984562,"domain_scores_codex":[0.9990657,0.0001922885,0.0000473896,0.0001909236,0.0003267657,0.0001768728],"domain_scores_gemma":[0.9968808,0.001071274,0.0002701762,0.0001291123,0.001435414,0.0002133502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003669463,0.00007471371,0.1743243,0.001138432,0.0001630718,0.002442892,0.5146879,0.000721206,0.01957303,0.04952338,0.05638257,0.1806015],"study_design_scores_gemma":[0.00001492274,0.00003421994,0.3972973,0.0003522882,0.00004891367,0.0004165953,0.150965,0.0004273165,0.002826932,0.0009302804,0.446595,0.00009125361],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8881165,0.0061653,0.003646736,0.007234506,0.0002421319,0.0001071569,0.01046925,0.00006177895,0.08395657],"genre_scores_gemma":[0.9248607,0.001808923,0.001627641,0.0007427215,0.00003785863,0.00009182409,0.00290471,0.00008350798,0.06784214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02903718,"threshold_uncertainty_score":0.1831976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02394111974478908,"score_gpt":0.223997749732606,"score_spread":0.2000566299878169,"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."}}