{"id":"W2101514107","doi":"10.7202/600607ar","title":"Des fiches de famille à la mesure des migrations","year":2008,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi; Cegep de Saint Hyacinthe","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002034498,0.0005945896,0.0004305551,0.00458215,0.00262254,0.001521635,0.00115983,0.0005911047,0.009405736],"category_scores_gemma":[0.00674034,0.0002692023,0.000379572,0.003571276,0.001003125,0.0008400388,0.00117889,0.000574526,0.001171988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002961702,"about_ca_system_score_gemma":0.003091363,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1839956,"about_ca_topic_score_gemma":0.4039735,"domain_scores_codex":[0.9988806,0.0004819399,0.00005494741,0.0002538134,0.0002107559,0.0001179887],"domain_scores_gemma":[0.9975904,0.0007073188,0.0003414398,0.0003746585,0.0008710473,0.0001150453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003244246,0.00009401098,0.2102891,0.001124873,0.0001403043,0.0007520716,0.07681001,0.001275835,0.006742765,0.009788115,0.01262813,0.6800305],"study_design_scores_gemma":[0.00002746608,0.0002359084,0.7454196,0.0007201894,0.0001781289,0.0007589857,0.07331682,0.00308012,0.004590643,0.005510542,0.166056,0.0001054457],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8399433,0.005005624,0.07931902,0.002873559,0.0004610585,0.002008514,0.006520985,0.0006756413,0.06319229],"genre_scores_gemma":[0.8200579,0.002691312,0.1057791,0.0003278151,0.0001162845,0.001818499,0.00318614,0.00008621047,0.06593683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8160044,"threshold_uncertainty_score":0.3658493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02641369901431728,"score_gpt":0.284122614427034,"score_spread":0.2577089154127167,"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."}}