{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001490992,0.0003303399,0.000380688,0.0004453632,0.005232464,0.0001556855,0.0004449355,0.0006983845,0.0002675571],"category_scores_gemma":[0.0005296127,0.000378836,0.0004400149,0.00245306,0.01063074,0.0006079408,0.00002653641,0.0005753988,0.0000620104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000685061,"about_ca_system_score_gemma":0.002023332,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1957863,"about_ca_topic_score_gemma":0.7040969,"domain_scores_codex":[0.9965166,0.0009510221,0.0004712605,0.0004488384,0.0004646906,0.00114763],"domain_scores_gemma":[0.998046,0.0003961721,0.000189026,0.0003464137,0.0002791513,0.000743251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001540799,0.0002631754,0.5718396,0.0002083643,0.0001204066,0.00006319526,0.2660454,0.0000323038,0.00007431451,0.05938756,0.09834693,0.003603359],"study_design_scores_gemma":[0.0003982792,0.0001360061,0.6668672,0.0001463008,0.0002196073,0.0001122811,0.03719573,0.00005571286,0.00007721735,0.06568709,0.2285412,0.000563323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.893315,0.08104462,0.001540975,0.002126822,0.0006014266,0.0003002303,0.00007777901,0.0001680103,0.0208252],"genre_scores_gemma":[0.8018494,0.1794339,0.003329415,0.0008153298,0.0006781883,0.00005201757,0.00002610997,0.00004260897,0.01377306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5083106,"threshold_uncertainty_score":0.9998664,"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."}}