{"id":"W4252178770","doi":"10.4095/301482","title":"Métis Population, 2006 (by census division)","year":2010,"lang":"en","type":"report","venue":"","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Division (mathematics); Geography; Population; Genealogy; Demography; Mathematics; History; Sociology; Arithmetic","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0004656017,0.001231368,0.0004971201,0.004052894,0.000602709,0.001357644,0.00100583,0.0004136669,0.03235845],"category_scores_gemma":[0.003898288,0.0004436676,0.0004663714,0.008502845,0.0001458574,0.001136194,0.0009063831,0.001180116,0.04192868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157986,"about_ca_system_score_gemma":0.002805335,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1573619,"about_ca_topic_score_gemma":0.1445105,"domain_scores_codex":[0.9991664,0.00006645911,0.00009239719,0.0001052672,0.0004597067,0.0001097672],"domain_scores_gemma":[0.9988242,0.00005227789,0.0001842695,0.00004190579,0.0008185979,0.00007869418],"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":[0.00004065849,0.00001773318,0.003618753,0.0002598073,0.00001027189,0.00002061089,0.00005793961,0.0001388372,0.00006565419,0.0004170976,0.9857837,0.009568936],"study_design_scores_gemma":[0.00008164892,0.00005689618,0.1354339,0.0003173579,0.00002133643,0.0001565562,0.0004030248,0.0005160993,0.0002069128,0.0002769102,0.862508,0.00002126225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003415827,0.0005642956,0.000240601,0.0003965309,0.0003246535,0.0001385727,0.9638098,0.0003986564,0.03071116],"genre_scores_gemma":[0.01201308,0.001732876,0.001936331,0.0003379851,0.0001396049,0.000774156,0.9448681,0.0001323422,0.03806549],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8426381,"threshold_uncertainty_score":0.3128919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0707594038914238,"score_gpt":0.3739341521818738,"score_spread":0.30317474829045,"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."}}