{"id":"W6888969949","doi":"10.25318/4310003801-eng","title":"Immigrant income by years since landing, Alberta, inactive","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Population; Ethnic group; Unemployment","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":[0.0007267129,0.001496287,0.001146244,0.004930936,0.001448764,0.00227094,0.002893667,0.0009450458,0.04418072],"category_scores_gemma":[0.004815453,0.0008227838,0.001114382,0.0150327,0.0003787671,0.00101229,0.001172549,0.001728841,0.01531312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009397184,"about_ca_system_score_gemma":0.02112541,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9624804,"about_ca_topic_score_gemma":0.9713792,"domain_scores_codex":[0.9991159,0.00003868839,0.00009306301,0.0001649878,0.0003326916,0.0002547084],"domain_scores_gemma":[0.996991,0.0001898897,0.0003030809,0.0001446829,0.002010406,0.0003608823],"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":[0.00005926122,0.00001842144,0.008567351,0.000375544,0.0000368063,0.00001894854,0.00005149156,0.0002101596,0.00002639011,0.0005172278,0.9875107,0.002607804],"study_design_scores_gemma":[0.0004317103,0.00003642404,0.2712524,0.001505491,0.0001976129,0.0001027024,0.001164927,0.000852276,0.0002528087,0.0009070221,0.7232109,0.00008581086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006913722,0.0001464598,0.00003313296,0.00007857278,0.00002896682,0.00001941216,0.9971721,0.00005792715,0.001771999],"genre_scores_gemma":[0.004024992,0.000326541,0.0002632611,0.0001067429,0.00002005257,0.0001155412,0.9876267,0.00004068559,0.00747548],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04418072,"threshold_uncertainty_score":0.1477993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004436746125489076,"score_gpt":0.2564352512346909,"score_spread":0.2519985051092019,"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."}}