{"id":"W6939202736","doi":"10.6068/dp14ba880cd2e39","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: Sri Lanka, Total, immigration status, Males, 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; Citizenship; Census; 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":[0.00259296,0.002393132,0.002806245,0.007861095,0.003231491,0.005000576,0.005597824,0.001558524,0.08713927],"category_scores_gemma":[0.02122875,0.001830603,0.002383345,0.03776996,0.0006513766,0.002763677,0.002543275,0.003299884,0.05273791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04502487,"about_ca_system_score_gemma":0.1279314,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9917305,"about_ca_topic_score_gemma":0.9883518,"domain_scores_codex":[0.9953486,0.0003564979,0.0005381696,0.0006004932,0.002060402,0.001095748],"domain_scores_gemma":[0.9613254,0.001497427,0.001242574,0.001265667,0.03285716,0.001811851],"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":[0.00002752222,0.00000724017,0.00120022,0.0002449726,0.00002405531,0.000006403775,0.00002067144,0.000108899,0.000009557299,0.0003407102,0.9964902,0.00151949],"study_design_scores_gemma":[0.0001998168,0.0000143151,0.02584419,0.001139739,0.00008513996,0.00002874829,0.0005167286,0.0005335909,0.0002067685,0.0007541145,0.9705753,0.0001015597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000494813,0.00004044327,0.00002422884,0.0001261979,0.0000294279,0.00001512672,0.9989629,0.00005593299,0.0006963089],"genre_scores_gemma":[0.0006762128,0.0002460246,0.0003952137,0.0001634254,0.00001911523,0.0001392418,0.994935,0.0001161062,0.0033098],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08713927,"threshold_uncertainty_score":0.3266798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02416944318104522,"score_gpt":0.2447436948060177,"score_spread":0.2205742516249724,"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."}}