{"id":"W4395460472","doi":"10.1515/9782760552340-001","title":"Remerciements","year":2020,"lang":"fr","type":"book-chapter","venue":"Presses de l'Université du Québec eBooks","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Outaouais","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005039639,0.0009896298,0.001096085,0.004051859,0.005276409,0.00657794,0.002647458,0.001427508,0.4843837],"category_scores_gemma":[0.02731574,0.0003896475,0.0008788623,0.002909192,0.001504714,0.002215681,0.004084581,0.002921628,0.2133413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01345788,"about_ca_system_score_gemma":0.01437982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1839217,"about_ca_topic_score_gemma":0.2877742,"domain_scores_codex":[0.9919843,0.001087569,0.0002122114,0.0007172555,0.005157951,0.0008405987],"domain_scores_gemma":[0.9710132,0.001577247,0.0004299635,0.002449729,0.02084329,0.003686608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004095852,0.00001898253,0.0002314374,0.0000750306,0.000004006307,0.00009034517,0.0005431451,0.00005158711,0.0002999837,0.01075301,0.9444674,0.04342411],"study_design_scores_gemma":[0.000003181479,0.000003323564,0.0003133995,0.0000511476,0.000003180468,0.00004012264,0.0002168711,0.00002273311,0.00007575948,0.000554007,0.9987121,0.000004153889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002847786,0.006452402,0.003499709,0.05495864,0.04251785,0.000471917,0.01043512,0.001830016,0.8769867],"genre_scores_gemma":[0.004572087,0.0006953757,0.0008688475,0.002140195,0.001080235,0.00007371465,0.001049412,0.000279899,0.9892402],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5156163,"threshold_uncertainty_score":0.735464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834146844433476,"score_gpt":0.1902521372068119,"score_spread":0.1719106687624772,"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."}}