{"id":"W6885822324","doi":"10.1371/journal.pone.0232252.s002","title":"Canadian ethnicity distribution as estimated through the 2016 Canadian Census, among males aged 0–14.","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ethnic group; Distribution (mathematics); Population; Census; Statistical analysis","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":[0.0006155836,0.000591083,0.0004037766,0.004747342,0.001713743,0.001096334,0.001163868,0.0002891388,0.01077204],"category_scores_gemma":[0.003539199,0.0002902245,0.0009523001,0.009209644,0.0002925271,0.000676931,0.0007505042,0.0009031094,0.002163033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02030946,"about_ca_system_score_gemma":0.04372158,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9980112,"about_ca_topic_score_gemma":0.9982784,"domain_scores_codex":[0.9992567,0.00002903662,0.00004601253,0.00009455629,0.0003853603,0.0001883872],"domain_scores_gemma":[0.9978301,0.00006101741,0.0001569695,0.00004813259,0.001722108,0.0001815802],"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":[0.0001762652,0.00005126386,0.3194268,0.0004948355,0.0001714008,0.0001311474,0.0009880434,0.001071959,0.0002463846,0.00505404,0.6295481,0.0426397],"study_design_scores_gemma":[0.00003359425,0.00001037217,0.8783847,0.0003377962,0.00009173403,0.0001419801,0.002231324,0.001480792,0.0002827181,0.0004391171,0.1165101,0.00005584757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.09892187,0.001996875,0.001147984,0.001533749,0.0002803454,0.0002129943,0.8617524,0.0002599196,0.03389388],"genre_scores_gemma":[0.5022432,0.007373202,0.005249958,0.001014855,0.00009738986,0.0004590596,0.4444716,0.0002241538,0.03886656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02030946,"threshold_uncertainty_score":0.1473562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1395245780855827,"score_gpt":0.3308861089552553,"score_spread":0.1913615308696726,"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."}}