{"id":"W4403768389","doi":"10.4000/books.pum.14318","title":"Remerciements","year":2000,"lang":"fr","type":"book-chapter","venue":"Presses de l’Université de Montréal eBooks","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[],"category_scores_codex":[0.00992505,0.001304738,0.001477279,0.003770735,0.005339724,0.007351663,0.002903712,0.001760653,0.221123],"category_scores_gemma":[0.06068324,0.0004544894,0.0009321648,0.002726108,0.002270541,0.003999619,0.005555855,0.004808295,0.104879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01456731,"about_ca_system_score_gemma":0.0261837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04838796,"about_ca_topic_score_gemma":0.1080994,"domain_scores_codex":[0.98234,0.002662682,0.0006044645,0.001696867,0.01127546,0.001420526],"domain_scores_gemma":[0.8932791,0.004653675,0.001852,0.005835018,0.07662544,0.01775478],"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":[0.00003103301,0.00001859009,0.000424606,0.00009082005,0.000006914713,0.0001846948,0.002223554,0.00005641232,0.0004024614,0.008894905,0.952419,0.03524695],"study_design_scores_gemma":[0.000003214315,0.000006704787,0.0004155652,0.00008803217,0.000003467627,0.0001274444,0.0009734772,0.00003333399,0.00009156709,0.0008452749,0.9974042,0.00000783452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008824466,0.02454439,0.01118478,0.3006512,0.1750704,0.0009121122,0.0135404,0.002842719,0.4624296],"genre_scores_gemma":[0.0256465,0.004543105,0.005422443,0.01279248,0.009385917,0.0002995074,0.00203168,0.001165981,0.9387124],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.778877,"threshold_uncertainty_score":0.73973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01052986416497865,"score_gpt":0.1742890532777649,"score_spread":0.1637591891127863,"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."}}