{"id":"W6938576249","doi":"10.6068/dp14ba801fbe845","title":"Most Recent Data (2002). Statistics Canada. CANSIM: Education, Training and Learning - Students | Country: Canada | Table: Postsecondary graduates, by immigration status, country of citizenship and sex | Variable: Tuvalu, International Students, Males, University | Units: #, 2002. 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; Immigration; Citizenship; Official statistics; Socioeconomic status; Economic statistics; Publication","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":[0.002734524,0.002463346,0.002847092,0.009399616,0.004055372,0.005943345,0.005297561,0.00171907,0.1080869],"category_scores_gemma":[0.02604415,0.001863748,0.002111169,0.05455511,0.0007851424,0.002705063,0.00240533,0.003494456,0.07105025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06840996,"about_ca_system_score_gemma":0.1877863,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955063,"about_ca_topic_score_gemma":0.9929221,"domain_scores_codex":[0.9937704,0.0003763251,0.0006443738,0.0006832249,0.003105399,0.00142026],"domain_scores_gemma":[0.9391959,0.002251228,0.001357626,0.001562116,0.05311712,0.002516068],"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":[0.00001822435,0.000006517331,0.0006572114,0.0001890982,0.00001220728,0.000005082683,0.00001825942,0.00008095893,0.00000734219,0.000250148,0.9975743,0.001180681],"study_design_scores_gemma":[0.0001431155,0.00001044521,0.02090559,0.0007621192,0.00005889569,0.00002049807,0.0004964452,0.0003127982,0.0001515792,0.0005043227,0.9765524,0.00008175733],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004214718,0.00004340238,0.00001896717,0.0001403069,0.00002919303,0.00001475015,0.9986106,0.00005620999,0.001044424],"genre_scores_gemma":[0.000890271,0.0003044546,0.0004440683,0.0002212852,0.0000231304,0.0001486969,0.9925334,0.0001336205,0.005301022],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1080869,"threshold_uncertainty_score":0.4963513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02475981928616486,"score_gpt":0.26192018046165,"score_spread":0.2371603611754851,"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."}}