{"id":"W1870704752","doi":"10.7202/010037ar","title":"Quelques développements dans l’application de la méthode des probabilités de survie pour l’estimation de la migration nette","year":2004,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01995343,0.002536512,0.001331643,0.002898941,0.001327276,0.003353026,0.00352928,0.00344225,0.005402348],"category_scores_gemma":[0.0677213,0.001437666,0.003150765,0.003752792,0.004499445,0.003530754,0.00262132,0.006645323,0.00366836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001864039,"about_ca_system_score_gemma":0.003978415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04272325,"about_ca_topic_score_gemma":0.03124401,"domain_scores_codex":[0.9906443,0.005904335,0.0003718175,0.001114046,0.00176377,0.0002018167],"domain_scores_gemma":[0.9614574,0.03225575,0.0006348711,0.002676597,0.002733049,0.0002423421],"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":[0.00009146023,0.0001715234,0.005099693,0.001107244,0.0006099247,0.0005778954,0.001335736,0.1006349,0.003416759,0.4034016,0.01834233,0.4652109],"study_design_scores_gemma":[0.00007214711,0.0001312019,0.005260039,0.0007644547,0.0001938861,0.0007443674,0.0002032512,0.4534027,0.003544569,0.3126229,0.222834,0.0002265571],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001483248,0.004164217,0.9885669,0.002107285,0.00095413,0.0000731821,0.0001511859,0.0002006485,0.002299226],"genre_scores_gemma":[0.03253788,0.01150757,0.9392576,0.002539217,0.00276628,0.0006730829,0.0003103251,0.0003501327,0.01005781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04272325,"threshold_uncertainty_score":0.1055251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01365130733879398,"score_gpt":0.295086798733122,"score_spread":0.2814354913943281,"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."}}