{"id":"W2087704810","doi":"10.7202/600870ar","title":"Exploitation démographique d’une liste nominative unique","year":2008,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Geography; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003112498,0.0003451148,0.0004448302,0.005988656,0.001360694,0.001091516,0.0005638631,0.0002890823,0.006388169],"category_scores_gemma":[0.01077554,0.0001671978,0.0005745457,0.006838306,0.0006662342,0.0007849897,0.000984323,0.0003767437,0.0006064033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002898532,"about_ca_system_score_gemma":0.00227176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2913899,"about_ca_topic_score_gemma":0.4998665,"domain_scores_codex":[0.9983368,0.0005897811,0.000150506,0.0002556061,0.0005112763,0.0001559852],"domain_scores_gemma":[0.9926955,0.003250696,0.001121408,0.0007092076,0.002104209,0.0001190941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002267852,0.00003835799,0.7931644,0.0009834376,0.0004129921,0.0003419653,0.02220152,0.00180835,0.002971736,0.005367916,0.005839606,0.1666429],"study_design_scores_gemma":[0.000008732567,0.0000763448,0.9316996,0.0002573192,0.0001541124,0.0004309906,0.0101492,0.001605404,0.001772189,0.000909855,0.05288683,0.00004945237],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9441229,0.002379938,0.01411685,0.0005309624,0.00005719014,0.0002653879,0.01293232,0.000104376,0.0254902],"genre_scores_gemma":[0.9649791,0.001398388,0.01638919,0.00007295416,0.00002788516,0.0003244419,0.005819626,0.00004295438,0.01094567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2913899,"threshold_uncertainty_score":0.5793875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0266749670909119,"score_gpt":0.2852092979963115,"score_spread":0.2585343309053996,"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."}}