{"id":"W6976711283","doi":"10.6068/dp14ba87b79aa31","title":"Trend 2003 - 2009. 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: Montserrat, Canadian students, Both sexes, Total, institution type | Units: #, 2003-2009. 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002649474,0.002478882,0.00286716,0.008277988,0.003598513,0.005087588,0.005837276,0.001537501,0.0879932],"category_scores_gemma":[0.02153703,0.001856714,0.002405948,0.03968857,0.0007059887,0.002584142,0.002509745,0.003148154,0.05165011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05529458,"about_ca_system_score_gemma":0.1535935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994746,"about_ca_topic_score_gemma":0.9924649,"domain_scores_codex":[0.9952063,0.0003272326,0.0005430365,0.0006041212,0.002205001,0.001114286],"domain_scores_gemma":[0.9611697,0.001424578,0.001197203,0.001317913,0.03297616,0.00191447],"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":[0.00002755884,0.000006269115,0.001123382,0.000221396,0.00002140506,0.000006099563,0.00002272038,0.00009971507,0.00001026991,0.0003293076,0.9966261,0.001505724],"study_design_scores_gemma":[0.0001899347,0.00001352179,0.02566224,0.001093048,0.0000830955,0.00002839029,0.0005461703,0.0004963328,0.0002100772,0.0007629214,0.9708117,0.0001026442],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004885355,0.00003872883,0.00002473917,0.0001255136,0.00002964488,0.00001525684,0.9988857,0.00006159169,0.0007699266],"genre_scores_gemma":[0.0008413562,0.0002715128,0.0004964098,0.0001856845,0.00002034457,0.0001584049,0.9939473,0.0001383886,0.003940564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9120068,"threshold_uncertainty_score":0.4011921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02295992292966884,"score_gpt":0.2520420599752066,"score_spread":0.2290821370455378,"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."}}