{"id":"W66302676","doi":"10.3233/sju-2006-23102","title":"Statistics Canada – Census on the net","year":2006,"lang":"en","type":"article","venue":"Statistical Journal of the United Nations Economic Commission for Europe","topic":"Census and Population Estimation","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Census; Statistics; Geography; Demography; Mathematics; Sociology; Population","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001507909,0.001819433,0.002011609,0.007172908,0.002020163,0.003892686,0.002262409,0.001327195,0.1356484],"category_scores_gemma":[0.008600874,0.001164804,0.00102208,0.02390416,0.0006698635,0.00201006,0.001189731,0.003142237,0.1253311],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0227681,"about_ca_system_score_gemma":0.07856409,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9293016,"about_ca_topic_score_gemma":0.9103777,"domain_scores_codex":[0.9970101,0.0002306124,0.0002507348,0.0003261926,0.001724809,0.0004574347],"domain_scores_gemma":[0.9835413,0.000739153,0.0006580228,0.0006077336,0.01362788,0.0008259896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009639556,0.000007042421,0.000309466,0.0001745987,0.000006968996,0.000008942568,0.00001212762,0.0001073069,0.00001768888,0.001251567,0.9904495,0.007645203],"study_design_scores_gemma":[0.00001952767,0.000003696535,0.003911828,0.0002103511,0.000009496111,0.00001558184,0.00004830642,0.0001020474,0.00004873727,0.0008097547,0.9948012,0.00001955665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0003102376,0.002186453,0.0009225717,0.001963971,0.0006928443,0.0003722188,0.9025892,0.001163089,0.08979941],"genre_scores_gemma":[0.004306691,0.01048892,0.005751173,0.002801346,0.0003648584,0.001307077,0.7649078,0.001597299,0.2084748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9772319,"threshold_uncertainty_score":0.4537892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04772066792057416,"score_gpt":0.3061619732442835,"score_spread":0.2584413053237093,"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."}}