{"id":"W150411456","doi":"10.7202/010017ar","title":"Mesure des erreurs de couverture du recensement canadien","year":2004,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Census and Population Estimation","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Geography; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.00559977,0.0003661504,0.000509823,0.001667796,0.0007724027,0.001578872,0.0007026059,0.0005798775,0.00348084],"category_scores_gemma":[0.03562642,0.0002613343,0.0005120853,0.001795438,0.0008033594,0.0008126654,0.0009837581,0.00126199,0.0004771449],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003961389,"about_ca_system_score_gemma":0.004230549,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4705571,"about_ca_topic_score_gemma":0.5230686,"domain_scores_codex":[0.9976296,0.0009867965,0.0001164183,0.0005020299,0.0005819834,0.0001831015],"domain_scores_gemma":[0.9866035,0.009209733,0.0007604423,0.001136398,0.002094121,0.0001958655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004253972,0.00004923809,0.4372167,0.0003696744,0.0004362464,0.0001976195,0.003450807,0.1214587,0.003855927,0.04483066,0.003126411,0.3845825],"study_design_scores_gemma":[0.00004414628,0.0002076473,0.745837,0.0006275987,0.0003166762,0.0003792038,0.002826464,0.1666255,0.01544388,0.03157483,0.03592426,0.0001927078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7158701,0.004152013,0.2448035,0.002421722,0.0001741645,0.000157055,0.004959476,0.0006353586,0.02682661],"genre_scores_gemma":[0.9334639,0.001235324,0.05332133,0.0001352581,0.00002047394,0.0000767031,0.001191646,0.00008471431,0.01047066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9960386,"threshold_uncertainty_score":0.9356363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674905129006041,"score_gpt":0.2564503668992474,"score_spread":0.239701315609187,"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."}}