{"id":"W7039588156","doi":"","title":"Migration pour études : mouvements intraprovinciaux et caractéristiques des migrants","year":2015,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"Bird parasitology and diseases","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Context (archaeology); Government (linguistics); Work (physics); Field (mathematics)","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":[0.001988841,0.0003733385,0.0003796042,0.001817205,0.003944485,0.002173918,0.0007457305,0.0005250598,0.009634526],"category_scores_gemma":[0.003377182,0.0001844366,0.0003344657,0.004678681,0.001173784,0.0007123917,0.001216698,0.0008454002,0.00100396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006188085,"about_ca_system_score_gemma":0.008063646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.738514,"about_ca_topic_score_gemma":0.8443348,"domain_scores_codex":[0.9991756,0.000277391,0.0000603005,0.00009318314,0.0001440938,0.0002494578],"domain_scores_gemma":[0.9980515,0.0003738841,0.0003961466,0.0001071682,0.0007261951,0.0003450227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003362177,0.00008980901,0.7647754,0.000709074,0.00008512431,0.001109339,0.05442289,0.0001783342,0.001208687,0.001510077,0.01844763,0.1571275],"study_design_scores_gemma":[0.000004397577,0.00004810269,0.9492714,0.0002684094,0.00002507506,0.0002219811,0.02338687,0.00006272941,0.0001556952,0.0001200224,0.02641681,0.00001860501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9448873,0.02328634,0.0008313385,0.005129586,0.0003491142,0.0001458977,0.004438904,0.00005804218,0.02087357],"genre_scores_gemma":[0.946293,0.01110629,0.001595819,0.0007152936,0.0001752986,0.0001506608,0.001630061,0.00005223797,0.03828152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.261486,"threshold_uncertainty_score":0.5260519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0151728063027975,"score_gpt":0.2541399429645382,"score_spread":0.2389671366617407,"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."}}