{"id":"W4250015293","doi":"10.4095/301529","title":"Visible Minority Population, 2001 - 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":[0.0004212064,0.0007615054,0.0002197924,0.002832978,0.001715883,0.0009426227,0.001024502,0.0003415831,0.008150777],"category_scores_gemma":[0.001184872,0.0002554211,0.000316637,0.003894708,0.0001714584,0.0006756626,0.0007015764,0.0006228348,0.004669052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007403063,"about_ca_system_score_gemma":0.01815085,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9495813,"about_ca_topic_score_gemma":0.9678913,"domain_scores_codex":[0.9995424,0.00001466399,0.0000220066,0.00002325915,0.0002713878,0.0001262271],"domain_scores_gemma":[0.9989558,0.00001521237,0.00005696118,0.00001349623,0.0008182075,0.0001402992],"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":[0.0001387335,0.0001619603,0.1648223,0.0004837227,0.00004128934,0.000171456,0.00112852,0.0003845216,0.0004366532,0.001085114,0.7835028,0.04764293],"study_design_scores_gemma":[0.00004302774,0.00003374424,0.766578,0.0002539844,0.00002777579,0.0001166638,0.002150262,0.0004462131,0.0003982083,0.0001469831,0.2297822,0.00002298582],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.07410824,0.002107569,0.0002470686,0.001426825,0.0003520754,0.0006740795,0.8537999,0.0001849798,0.06709929],"genre_scores_gemma":[0.1758678,0.00967605,0.001720859,0.0009362853,0.0001669723,0.001044787,0.6468138,0.00007122356,0.1637023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05041867,"threshold_uncertainty_score":0.1014311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03223665339155598,"score_gpt":0.3533183760269041,"score_spread":0.3210817226353481,"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."}}