{"id":"W6995715494","doi":"","title":"Prise à Québec, l’épée d’un officier français","year":2024,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Process (computing); Work (physics)","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":[0.001593927,0.0005413041,0.0004371687,0.0008522531,0.01706656,0.007354458,0.0007964457,0.002943321,0.02513706],"category_scores_gemma":[0.003913507,0.0003868963,0.0004347606,0.001195802,0.004313016,0.001958165,0.001855146,0.005564795,0.001851574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06986576,"about_ca_system_score_gemma":0.1191913,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9889131,"about_ca_topic_score_gemma":0.9947002,"domain_scores_codex":[0.9978651,0.0003458358,0.00004906684,0.0002145599,0.0006075776,0.0009178619],"domain_scores_gemma":[0.9971433,0.0002720408,0.0001140249,0.0001188767,0.001341734,0.001009896],"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":[0.0002889653,0.0001261747,0.01195037,0.0002706028,0.0000878123,0.001711732,0.03088299,0.0003879791,0.001701724,0.3058903,0.5646328,0.08206848],"study_design_scores_gemma":[0.0000157491,0.00001469178,0.0122448,0.0001060582,0.00001071494,0.00009155141,0.005214709,0.00007374014,0.0001854448,0.001199476,0.9808145,0.00002863946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1146583,0.04660981,0.001367712,0.2946118,0.009998334,0.0001089236,0.0017633,0.0001816969,0.5307001],"genre_scores_gemma":[0.3036877,0.005743452,0.0008577548,0.01419696,0.0004855635,0.00003220586,0.0002176855,0.0001005453,0.6746781],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06986576,"threshold_uncertainty_score":0.506914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004201097160179451,"score_gpt":0.1516759410081246,"score_spread":0.1474748438479452,"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."}}