{"id":"W4398779080","doi":"10.1515/9782760339859-toc","title":"Table des matières","year":2023,"lang":"fr","type":"book-chapter","venue":"University of Ottawa Press eBooks","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Computer science; Database","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003593471,0.0008718507,0.001013518,0.003214847,0.003688881,0.006669465,0.001803951,0.001600353,0.7188359],"category_scores_gemma":[0.02304903,0.0005285502,0.001118669,0.004080493,0.0006253506,0.003025501,0.00261472,0.002089157,0.414799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003848983,"about_ca_system_score_gemma":0.01224788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02792689,"about_ca_topic_score_gemma":0.0369923,"domain_scores_codex":[0.9967946,0.0006607705,0.000242704,0.0005078476,0.001420201,0.0003739357],"domain_scores_gemma":[0.9879591,0.002082981,0.000341331,0.0009752191,0.007198877,0.001442391],"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":[0.00005416301,0.00001970589,0.0004021226,0.0003187978,0.000007148955,0.00005215715,0.0001593741,0.00005187331,0.00007497197,0.005601143,0.9222161,0.0710424],"study_design_scores_gemma":[0.000008510637,0.00001465435,0.0005507461,0.0003005492,0.000005143892,0.00004253992,0.0002252128,0.00002239026,0.00005695734,0.0009567375,0.9978096,0.000007005548],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001782826,0.009659639,0.006106748,0.02395668,0.04478692,0.001043439,0.05707903,0.002603065,0.8529816],"genre_scores_gemma":[0.006283434,0.006841094,0.005417062,0.00557991,0.003701914,0.0009753482,0.02464982,0.001213675,0.9453378],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2811641,"threshold_uncertainty_score":0.4010465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0375796200520634,"score_gpt":0.2028854929621497,"score_spread":0.1653058729100862,"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."}}