{"id":"W6958126900","doi":"10.6068/dp14ba7fca1a943","title":"Trend 1999 - 2011. Statistics Canada. CANSIM: Education, Training and Learning - Students | Country: Canada | Table: Postsecondary graduates, by immigration status, country of citizenship and sex | Variable: Europe, Canadian students, Both sexes, College | Units: #, 1999-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-073.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistics education; Census; Citizenship; Immigration; Official statistics; Socioeconomic status; Economic statistics; Statistical analysis","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":[0.002444004,0.002419765,0.002920569,0.01000601,0.003727525,0.005625133,0.005324859,0.001629336,0.08635082],"category_scores_gemma":[0.02107502,0.001815733,0.002328868,0.04683512,0.00071766,0.00280296,0.002500877,0.003392626,0.05271257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06365838,"about_ca_system_score_gemma":0.1769057,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954288,"about_ca_topic_score_gemma":0.9934394,"domain_scores_codex":[0.9946786,0.0003323972,0.0005491669,0.0006147387,0.002568119,0.001257018],"domain_scores_gemma":[0.9590088,0.001380176,0.00119262,0.001135944,0.03529339,0.001989115],"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":[0.00002384221,0.000006350817,0.0009946371,0.0002322183,0.00002074757,0.000006227774,0.00002148948,0.0001053013,0.0000083731,0.0003804693,0.9965628,0.001637597],"study_design_scores_gemma":[0.0001438152,0.00001168075,0.02266769,0.000876391,0.00007522879,0.00002746052,0.000509934,0.0004640503,0.0001761306,0.0006302395,0.9743291,0.00008843599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005524039,0.00006165156,0.00002701265,0.0001673686,0.00003908786,0.00001723134,0.9985312,0.00006574426,0.001035437],"genre_scores_gemma":[0.001043795,0.0003979131,0.0004691266,0.0002107238,0.00002714538,0.0001490888,0.9925962,0.0001434396,0.004962522],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08635082,"threshold_uncertainty_score":0.461876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01924400994192449,"score_gpt":0.2516656667973055,"score_spread":0.232421656855381,"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."}}