{"id":"W6901596049","doi":"10.6068/dp14ba84530de22","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: Saint Lucia, Canadian students, Both sexes, College | 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; 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":[0.00243034,0.002430237,0.002842864,0.008811646,0.003777453,0.005190932,0.005474078,0.001563413,0.08147079],"category_scores_gemma":[0.02047292,0.001828057,0.002396808,0.03959428,0.0006841906,0.002620226,0.002462856,0.003165055,0.0467972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05458779,"about_ca_system_score_gemma":0.1502213,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950923,"about_ca_topic_score_gemma":0.9932406,"domain_scores_codex":[0.9951864,0.0003154424,0.0005316613,0.0006117115,0.002249474,0.001105413],"domain_scores_gemma":[0.9641088,0.001284694,0.001071022,0.001172939,0.03069854,0.001664043],"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":[0.0000278332,0.000006625822,0.001295989,0.0002462934,0.00002532082,0.00000732967,0.00002418967,0.0001184036,0.00001023903,0.0004004613,0.9961106,0.001726655],"study_design_scores_gemma":[0.0001746748,0.000013534,0.02654596,0.001027011,0.0000912283,0.00003137992,0.0005348481,0.0005310142,0.000201188,0.0007674472,0.9699783,0.0001034141],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005680999,0.00005249548,0.0000273628,0.0001410056,0.00003296981,0.00001525122,0.9987673,0.00005929543,0.0008476382],"genre_scores_gemma":[0.0009432258,0.0003218198,0.0004638456,0.0001860352,0.00002159225,0.0001312762,0.9939306,0.0001262327,0.003875305],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08147079,"threshold_uncertainty_score":0.3960639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01976067171445442,"score_gpt":0.244702276030416,"score_spread":0.2249416043159616,"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."}}