{"id":"W6957848896","doi":"10.6068/dp14ba87a175798","title":"Trend 1999 - 2011. 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: Italy, Total, immigration status, Females, Total, institution type | Units: #, 1999-2011. 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; Citizenship; Population; Statistics education; 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":[0.002590318,0.002385654,0.002823976,0.008377094,0.003453415,0.005106566,0.00539535,0.001564603,0.08777973],"category_scores_gemma":[0.0207927,0.001822677,0.002319074,0.03902516,0.0006740068,0.002655503,0.002509229,0.003147173,0.05253327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04986676,"about_ca_system_score_gemma":0.1416984,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9933709,"about_ca_topic_score_gemma":0.9906272,"domain_scores_codex":[0.995139,0.0003330967,0.0005386104,0.0006061232,0.002271631,0.001111573],"domain_scores_gemma":[0.9606802,0.001445495,0.001190206,0.00122301,0.03361447,0.001846556],"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":[0.00002749071,0.000006943014,0.001182196,0.000243304,0.00002238705,0.000006584274,0.00002186996,0.0001060755,0.000009642906,0.000342105,0.9964071,0.001624279],"study_design_scores_gemma":[0.0001832711,0.0000140746,0.02672923,0.001082827,0.00008354145,0.00002841089,0.0005140279,0.0004756305,0.000196663,0.0007185742,0.9698747,0.00009893205],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005179514,0.00004423058,0.00002446718,0.0001299602,0.00003075722,0.00001572667,0.9988233,0.00005807273,0.0008216444],"genre_scores_gemma":[0.0007977691,0.0002823765,0.0004162649,0.0001819781,0.00002108523,0.0001440744,0.9940492,0.0001263315,0.003980876],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08777973,"threshold_uncertainty_score":0.3618104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02846959948193058,"score_gpt":0.2504212841985612,"score_spread":0.2219516847166307,"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."}}