{"id":"W6888976920","doi":"10.25318/4310004401-eng","title":"Immigrant income by years since landing, Ontario, 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":[0.0006261614,0.001194774,0.001258368,0.004324626,0.001791425,0.001938429,0.002566023,0.0009119992,0.0463823],"category_scores_gemma":[0.005910587,0.0008843025,0.001417827,0.01518284,0.0004257348,0.001288858,0.001303604,0.001268917,0.0139659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01551402,"about_ca_system_score_gemma":0.03095307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9781088,"about_ca_topic_score_gemma":0.985881,"domain_scores_codex":[0.9988976,0.00004318468,0.0001688846,0.0001909649,0.00038472,0.00031469],"domain_scores_gemma":[0.9957235,0.0002096799,0.0006119693,0.0001831676,0.002777767,0.0004938386],"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":[0.00006871012,0.00001707543,0.01196422,0.0006965533,0.00004847648,0.00002110454,0.00009150265,0.0001391366,0.00003157274,0.0004662215,0.984199,0.002256372],"study_design_scores_gemma":[0.0003854228,0.0000306312,0.2841332,0.001364496,0.0001796,0.00008663048,0.0009974998,0.0004664368,0.0001850974,0.0004429446,0.7116604,0.00006758123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006100285,0.0001121338,0.00002324691,0.00008511236,0.00001808123,0.00001998421,0.9977347,0.00002963488,0.001367091],"genre_scores_gemma":[0.005618919,0.0004556738,0.0002089484,0.0001229937,0.00002448479,0.0002095321,0.9848926,0.00004078123,0.00842602],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0463823,"threshold_uncertainty_score":0.1551643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005394812195205154,"score_gpt":0.2527600616206763,"score_spread":0.2473652494254711,"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."}}