{"id":"W6901667408","doi":"10.6068/dp14ba8ac6c2d65","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: Macao Special Administrative Region, International Students, Both sexes, 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; Statistics education; Population; Socioeconomic status; Ethnic group; Official statistics; Population 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":[0.002621382,0.002358158,0.002833773,0.008261758,0.003514641,0.005072063,0.005515521,0.001612264,0.08169097],"category_scores_gemma":[0.02098046,0.001871247,0.002381022,0.03837647,0.0006813273,0.002628644,0.002455524,0.003246087,0.04723076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05200834,"about_ca_system_score_gemma":0.1481463,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938797,"about_ca_topic_score_gemma":0.9912181,"domain_scores_codex":[0.995034,0.0003490278,0.0005612448,0.0006181149,0.002323561,0.001113947],"domain_scores_gemma":[0.961252,0.001434325,0.001171438,0.00124339,0.03310467,0.001794204],"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":[0.00002989576,0.00000754499,0.001345843,0.0002603347,0.00002537487,0.000007137842,0.00002373621,0.0001193825,0.00001034254,0.0003684264,0.9960325,0.001769388],"study_design_scores_gemma":[0.0001923211,0.0000148434,0.02834968,0.001124356,0.00009205721,0.00003040931,0.0005407266,0.0005274715,0.0002059787,0.0007774331,0.9680417,0.0001030849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005668947,0.00004901795,0.00002733782,0.0001421709,0.00003295539,0.00001665927,0.9988112,0.00005868013,0.0008052609],"genre_scores_gemma":[0.0009180183,0.000315425,0.0004783104,0.0001993254,0.00002269261,0.0001537854,0.9937603,0.0001300404,0.004022037],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.918309,"threshold_uncertainty_score":0.3773487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02797718017816314,"score_gpt":0.2593367983245477,"score_spread":0.2313596181463846,"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."}}