{"id":"W6920115976","doi":"10.6068/dp14ba82369164","title":"Most Recent Data (1999). Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Education, Training and Skills | Country: Canada | Table: Postsecondary graduates, by immigration status, country of citizenship and sex | Variable: Argentina, Not reported, Females, College | Units: #, 1999. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-089.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Census; Statistics education; Population; Citizenship; Socioeconomic status; Ethnic group; Official statistics","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":[0.002606401,0.002420336,0.00275098,0.00820244,0.003757027,0.005208557,0.005370359,0.001613566,0.1121589],"category_scores_gemma":[0.02401542,0.001714664,0.002120173,0.0461618,0.0007256486,0.002598445,0.002445535,0.003254472,0.07116729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05315147,"about_ca_system_score_gemma":0.1427963,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993459,"about_ca_topic_score_gemma":0.9906183,"domain_scores_codex":[0.9947309,0.0003309498,0.0005641588,0.0006043459,0.002605953,0.001163582],"domain_scores_gemma":[0.9503333,0.002074682,0.00123731,0.001422473,0.04281994,0.002112334],"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":[0.00002022976,0.000007126598,0.0008289997,0.0001957202,0.00001388533,0.000005380629,0.00001727232,0.00008542637,0.000007794878,0.0002542388,0.9973432,0.001220629],"study_design_scores_gemma":[0.0001834419,0.00001128254,0.02320536,0.0008547886,0.00006455564,0.00002120022,0.0004921514,0.0003361941,0.0001700594,0.0005913812,0.9739797,0.00008995183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003660698,0.00003437501,0.0000158118,0.0001003763,0.00002380038,0.00001199725,0.9989576,0.00004306545,0.0007763016],"genre_scores_gemma":[0.0006565634,0.0002290006,0.0003582585,0.000157985,0.00001752162,0.0001187907,0.9947016,0.0001012048,0.003659065],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1121589,"threshold_uncertainty_score":0.3856427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04350693373351232,"score_gpt":0.2623004027507889,"score_spread":0.2187934690172765,"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."}}