{"id":"W1931364347","doi":"","title":"Composer avec la Conquête : Nomades sédentairesAlain Beaulieu, Stéphanie Béreau et Jean Tanguay, Les Wendats du Québec. Territoire, économie et identité, 1650-1930, Québec, Les éditions GID, 2013, 338 pagesAlain Beaulieu, Stéphanie Béreau et Jean Tanguay, Les Wendats du Québec. Territoire, économie et identité, 1650-1930, Québec, Les éditions GID, 2013, 338 pages","year":2014,"lang":"fr","type":"article","venue":"˜Les œcahiers de lecture de l'Action nationale","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002302064,0.0009172265,0.0005803115,0.00225472,0.01811681,0.006683186,0.00129126,0.001941143,0.02642504],"category_scores_gemma":[0.003571688,0.0005651364,0.0004334722,0.005443486,0.007042789,0.004558069,0.002546211,0.002790404,0.003451051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06949141,"about_ca_system_score_gemma":0.06925277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9842132,"about_ca_topic_score_gemma":0.9958084,"domain_scores_codex":[0.9982369,0.0003025496,0.00005282477,0.0001526062,0.0008673265,0.0003877249],"domain_scores_gemma":[0.9973491,0.0002836905,0.0001332137,0.00008478351,0.001575192,0.0005740228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004749188,0.00002439565,0.004560081,0.0002854163,0.00001734769,0.0002594165,0.06168578,0.0001379418,0.0004189663,0.0276041,0.826598,0.07836114],"study_design_scores_gemma":[0.000004461699,0.000006139161,0.01288463,0.0002917416,0.000007559671,0.00007619751,0.02516843,0.00004734,0.0001038195,0.0007209207,0.9606637,0.00002499977],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.04188284,0.4302168,0.002831379,0.2658815,0.02121789,0.00009918931,0.002293575,0.0003001849,0.2352766],"genre_scores_gemma":[0.2499094,0.1186816,0.002170851,0.01218277,0.00267541,0.0000861586,0.001013406,0.0004335563,0.6128469],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.06949141,"threshold_uncertainty_score":0.5041978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01102224669614405,"score_gpt":0.2440366123611179,"score_spread":0.2330143656649738,"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."}}