{"id":"W4399847984","doi":"10.1515/9782760523791-001","title":"Introduction","year":2009,"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 à Trois-Rivières","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":[0.0009013978,0.0008435457,0.000605072,0.001767886,0.002195257,0.004472794,0.001697221,0.001821705,0.5468259],"category_scores_gemma":[0.002610618,0.0003583977,0.0006388072,0.001658274,0.0008475864,0.002476708,0.001940691,0.001781186,0.3801268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004132898,"about_ca_system_score_gemma":0.006801915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04561937,"about_ca_topic_score_gemma":0.05783089,"domain_scores_codex":[0.9992412,0.0000749001,0.0000255859,0.0001587893,0.000381325,0.0001181918],"domain_scores_gemma":[0.998771,0.0001158191,0.00003202487,0.0001495634,0.0007120457,0.0002195399],"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":[0.0000199467,0.00002391779,0.0001022154,0.0001262055,0.000001830096,0.00003041883,0.0001270335,0.00007472032,0.0001698687,0.02654643,0.8747481,0.09802937],"study_design_scores_gemma":[0.000001501764,0.000002835501,0.00008077356,0.0000559777,7.080693e-7,0.0000139306,0.0000299535,0.000007963653,0.00002597201,0.001300406,0.998478,0.000001832106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000295095,0.00326899,0.002034503,0.003682393,0.004884511,0.00015649,0.002308732,0.000617802,0.9827515],"genre_scores_gemma":[0.001139106,0.001629745,0.0008266382,0.001149445,0.0005959988,0.00006096419,0.001289213,0.0001780598,0.9931307],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4531741,"threshold_uncertainty_score":0.6463978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008824693186420632,"score_gpt":0.1745685958376267,"score_spread":0.1657439026512061,"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."}}