{"id":"W6901737803","doi":"10.6068/dp14ba85e4e3613","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: United States, International Students, Females, University | 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":[0.002498252,0.002390298,0.002849165,0.008713781,0.003742509,0.005290092,0.005386442,0.001635523,0.08367339],"category_scores_gemma":[0.02121907,0.001774947,0.00245363,0.03891491,0.0006722039,0.0027029,0.0025221,0.003286617,0.05014271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05122449,"about_ca_system_score_gemma":0.1453707,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943674,"about_ca_topic_score_gemma":0.9919411,"domain_scores_codex":[0.9951375,0.0003451471,0.0005380969,0.0006043966,0.002254952,0.001119926],"domain_scores_gemma":[0.9632845,0.001378096,0.001082698,0.001168814,0.0314017,0.001684043],"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":[0.00002791725,0.000006868978,0.001221301,0.0002538267,0.00002459643,0.000007522644,0.00002386989,0.0001153979,0.000009873507,0.0003923225,0.9961407,0.001775921],"study_design_scores_gemma":[0.0001652798,0.00001291399,0.02381714,0.001050028,0.00008585993,0.00003078375,0.0005379478,0.0005232355,0.0001885356,0.0007758463,0.9727101,0.0001023178],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005577805,0.00005504784,0.00002870819,0.0001525545,0.00003590743,0.00001583572,0.9987318,0.0000622283,0.0008621539],"genre_scores_gemma":[0.000875616,0.0003250044,0.0004655526,0.0001944785,0.00002284167,0.000135926,0.9939793,0.0001313465,0.003869911],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08367339,"threshold_uncertainty_score":0.3716614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02466392122993012,"score_gpt":0.2506555214221006,"score_spread":0.2259916001921705,"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."}}