{"id":"W6976528697","doi":"10.6068/dp14ba869ab1472","title":"Trend 2004 - 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: French Polynesia, International Students, Females, University | Units: #, 2004-2011. 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":[0.002429758,0.002487424,0.002915987,0.008688434,0.003732312,0.005264709,0.005546107,0.001605529,0.08369585],"category_scores_gemma":[0.02061583,0.001885954,0.002451658,0.039342,0.0006929636,0.002626539,0.002440444,0.003145121,0.04818746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05576601,"about_ca_system_score_gemma":0.1535985,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995084,"about_ca_topic_score_gemma":0.992953,"domain_scores_codex":[0.9952229,0.0003325816,0.0005379256,0.0006009206,0.002188145,0.00111752],"domain_scores_gemma":[0.9627371,0.001423637,0.001118293,0.001161927,0.03181423,0.001744744],"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":[0.00002761786,0.000006474692,0.001222282,0.0002416421,0.00002466026,0.000006901825,0.00002256173,0.0001161959,0.000009722493,0.0003640482,0.9963366,0.001621245],"study_design_scores_gemma":[0.0001807843,0.00001407262,0.02564897,0.001106061,0.00009442418,0.00003195415,0.0005568443,0.000555361,0.0002073302,0.000770702,0.9707265,0.0001068608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005633943,0.00005193341,0.00002541859,0.0001469436,0.00003356672,0.00001437114,0.9988181,0.00006260805,0.0007907798],"genre_scores_gemma":[0.0009418034,0.0003215693,0.0004769164,0.000202706,0.00002228662,0.0001393121,0.993697,0.0001331825,0.004065334],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08369585,"threshold_uncertainty_score":0.4046125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02253133939905412,"score_gpt":0.2480413373468018,"score_spread":0.2255099979477476,"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."}}