{"id":"W3180372710","doi":"","title":"LibGuides: GEOG 224-001 F2020 - The Canadian Landscape: Statistics Canada - Immigration and Ethnocultural Diversity Statistics","year":2020,"lang":"en","type":"libguides","venue":"","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Diversity (politics); Statistics; Geography; Summary statistics; Political science; Mathematics; Law; 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":[0.001694562,0.001182539,0.0008219084,0.004916661,0.004526857,0.004316573,0.001824894,0.001627009,0.2931381],"category_scores_gemma":[0.005126836,0.0008182373,0.0009310872,0.008478791,0.0006775631,0.0008891057,0.002456022,0.001749586,0.09362765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03775961,"about_ca_system_score_gemma":0.1511157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9927328,"about_ca_topic_score_gemma":0.9937033,"domain_scores_codex":[0.9984071,0.00008478542,0.00008703012,0.0001033853,0.0008223538,0.000495423],"domain_scores_gemma":[0.9923799,0.000251009,0.0001711452,0.0001102296,0.005631962,0.001455699],"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":[0.00004837908,0.00002032218,0.002162388,0.0001556625,0.000007500565,0.00001663069,0.00006066492,0.0001099437,0.00003995903,0.001277736,0.9741588,0.02194203],"study_design_scores_gemma":[0.00003677642,0.00001631709,0.0175484,0.0004099091,0.00001141707,0.00001626451,0.0003837955,0.0003630992,0.0001557036,0.000407828,0.9806215,0.00002896815],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004440709,0.002163352,0.000533686,0.006959921,0.001476325,0.0006499993,0.6471844,0.002045841,0.3345458],"genre_scores_gemma":[0.009139729,0.001799353,0.00174018,0.001931297,0.0001207635,0.0004347297,0.124621,0.0008057702,0.8594072],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2931381,"threshold_uncertainty_score":0.9806445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03440059220371415,"score_gpt":0.3045005168794381,"score_spread":0.270099924675724,"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."}}