{"id":"W1979353200","doi":"10.7202/600812ar","title":"Cueillette et traitement des données sur les naissances, les mariages, les divorces et les décès au Québec : rêves et réalité","year":2009,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Political science; 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":[0.01028578,0.0003050294,0.0003870643,0.004192105,0.007178649,0.00689141,0.001420542,0.001155075,0.01005423],"category_scores_gemma":[0.03027352,0.0004671822,0.0003361591,0.008871863,0.004800046,0.002603137,0.002661095,0.002108618,0.0008203659],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07478522,"about_ca_system_score_gemma":0.1035422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9916679,"about_ca_topic_score_gemma":0.9938001,"domain_scores_codex":[0.9923419,0.002047734,0.0003273736,0.001001375,0.003313291,0.0009685229],"domain_scores_gemma":[0.9582466,0.01006636,0.003650549,0.002297969,0.02274627,0.002992158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003587914,0.00009090221,0.4379284,0.001139455,0.0001909883,0.001102948,0.1371632,0.001127852,0.001928367,0.034212,0.1251024,0.2596547],"study_design_scores_gemma":[0.0000198732,0.00006154965,0.6188481,0.0009051464,0.0000493639,0.0001977664,0.04627731,0.0006423281,0.0005327403,0.00127839,0.3310531,0.0001342898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6507529,0.03089825,0.004720864,0.1449549,0.0007817655,0.0003206498,0.02274585,0.0003506715,0.1444743],"genre_scores_gemma":[0.9045243,0.011714,0.002650553,0.005204641,0.0001796449,0.0001378121,0.004623934,0.00008452369,0.07088068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9252148,"threshold_uncertainty_score":0.5426073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1075984047964133,"score_gpt":0.3761612455613014,"score_spread":0.2685628407648881,"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."}}