{"id":"W1994883361","doi":"10.7202/600801ar","title":"Traits saillants de la méthode d’estimation des familles de recensement développée par Statistique Canada","year":2009,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Humanities; Political science; Geography; 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"],"consensus_categories":[],"category_scores_codex":[0.001586831,0.0005092099,0.0005096342,0.0003387529,0.0006075099,0.0001499622,0.0002598006,0.0005795546,0.00009853874],"category_scores_gemma":[0.001540979,0.0005888205,0.000174435,0.0007935248,0.0005904914,0.0002121241,0.00001629562,0.000576927,0.000006226778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002409014,"about_ca_system_score_gemma":0.002130795,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3721753,"about_ca_topic_score_gemma":0.7121911,"domain_scores_codex":[0.9962012,0.0009888111,0.0008418433,0.0004432291,0.0004712263,0.001053733],"domain_scores_gemma":[0.9972942,0.001089781,0.0004419252,0.000349694,0.0002530442,0.0005713805],"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":[0.0001841378,0.0006016406,0.08504664,0.001338674,0.0003923346,0.0004486884,0.02595278,0.01239867,0.001089388,0.2222228,0.1243701,0.5259541],"study_design_scores_gemma":[0.0009858785,0.0001592456,0.7167125,0.0006995175,0.000343045,0.0002302695,0.001162856,0.02524938,0.0007083229,0.230621,0.02226067,0.0008674061],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7535315,0.004630902,0.2359707,0.002718303,0.0002894432,0.000553159,0.0003868198,0.0001449602,0.001774253],"genre_scores_gemma":[0.7207492,0.003507169,0.2733214,0.001396502,0.0001403511,0.00003817174,0.0001629237,0.00006909137,0.0006151809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6316658,"threshold_uncertainty_score":0.9996563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0208063015104067,"score_gpt":0.2848082636405994,"score_spread":0.2640019621301927,"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."}}