{"id":"W4243703297","doi":"10.4095/301545","title":"Visible Minority Population, 2006 - Arab Population by Census Subdivision","year":2010,"lang":"en","type":"report","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Subdivision; Population; Geography; Genealogy; Demography; Sociology; History; Archaeology","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":[0.00031326,0.0007224387,0.0002223581,0.002348162,0.0005720881,0.0008147753,0.0005598857,0.0002231871,0.01741112],"category_scores_gemma":[0.00112823,0.000187138,0.0003056171,0.00293613,0.00009368039,0.0007210737,0.0006998209,0.0005027257,0.01387577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008910478,"about_ca_system_score_gemma":0.00180463,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.156883,"about_ca_topic_score_gemma":0.1566299,"domain_scores_codex":[0.9997175,0.00002269083,0.00002490734,0.00002558248,0.0001418175,0.00006739236],"domain_scores_gemma":[0.9995047,0.00001587781,0.00007071587,0.00001350501,0.0003304695,0.00006460983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001240256,0.0001070676,0.06781123,0.0006092468,0.00004557818,0.0001264919,0.0009622431,0.0002879844,0.0005165899,0.001637274,0.8609464,0.06682579],"study_design_scores_gemma":[0.00004906108,0.00006738832,0.4857585,0.0002983491,0.00002356564,0.0002848674,0.002395339,0.0004297765,0.0005189733,0.0002844125,0.5098647,0.00002504968],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.07423315,0.00215516,0.0003777755,0.0008586446,0.0005604991,0.0004358266,0.80539,0.0004001409,0.1155887],"genre_scores_gemma":[0.1538212,0.008742954,0.002781251,0.0006656356,0.0002729394,0.001267452,0.697228,0.0001384696,0.1350822],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.843117,"threshold_uncertainty_score":0.3119397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.023437968099549,"score_gpt":0.3396758501318537,"score_spread":0.3162378820323047,"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."}}