{"id":"W6920157276","doi":"10.6068/dp14ba820c5e652","title":"Trend 1999 - 2011. Statistics Canada. CANSIM: Education, Training and Learning - Students | Country: Canada | Table: Postsecondary graduates, by immigration status, country of citizenship and sex | Variable: Jordan, International Students, Males, Total, institution type | Units: #, 1999-2011. 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; Citizenship; Immigration; 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":[0.002205069,0.002380378,0.002848525,0.009408193,0.003680748,0.005689453,0.005136123,0.001611212,0.08810482],"category_scores_gemma":[0.01930832,0.001810063,0.002255627,0.04427306,0.0006834923,0.002871449,0.002433876,0.003360658,0.05565021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05942555,"about_ca_system_score_gemma":0.1688676,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952277,"about_ca_topic_score_gemma":0.9931015,"domain_scores_codex":[0.9951653,0.0002959781,0.0004930352,0.0005784563,0.00227968,0.001187518],"domain_scores_gemma":[0.9618232,0.001307502,0.001109717,0.001021972,0.03281241,0.001925294],"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":[0.00002312458,0.000006466728,0.0009917906,0.0002221389,0.00001881456,0.000006254857,0.00002058376,0.0001010699,0.00000841407,0.0003514484,0.9966457,0.001604041],"study_design_scores_gemma":[0.0001446406,0.00001143822,0.02245848,0.0008947531,0.00007033575,0.00002733542,0.0005266194,0.0004896887,0.0001863448,0.0005924047,0.9745096,0.00008835433],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005651306,0.00005729504,0.00002561147,0.0001692641,0.00003707935,0.00001590581,0.9985329,0.00006576645,0.001039736],"genre_scores_gemma":[0.0009890323,0.0003771026,0.000432393,0.0002037319,0.0000256102,0.0001390106,0.9924276,0.000144814,0.005260589],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08810482,"threshold_uncertainty_score":0.4311646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02242835068186858,"score_gpt":0.268864236777497,"score_spread":0.2464358860956285,"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."}}