{"id":"W6901553747","doi":"10.6068/dp14ba7f6b26282","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: Peru, Canadian students, Males, University | 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; Statistical analysis","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":[0.002435087,0.002389385,0.002871706,0.009503641,0.003543049,0.005441546,0.005305301,0.001624469,0.0893207],"category_scores_gemma":[0.0206876,0.001907101,0.002304736,0.0460395,0.0006916651,0.002785207,0.002434223,0.003477295,0.05282079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06216365,"about_ca_system_score_gemma":0.1761522,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950418,"about_ca_topic_score_gemma":0.9926466,"domain_scores_codex":[0.9947366,0.0003412248,0.0005420622,0.0005996978,0.002542019,0.001238406],"domain_scores_gemma":[0.9593238,0.001409139,0.001171645,0.001106203,0.03503521,0.001954133],"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":[0.00002406944,0.000006568192,0.0009577576,0.0002375697,0.00002025032,0.000006465486,0.00002139927,0.00010731,0.000008608469,0.0003879444,0.9965742,0.001647854],"study_design_scores_gemma":[0.0001417838,0.00001188358,0.02251676,0.0008947285,0.00007403623,0.00002784284,0.0005088249,0.0004583511,0.0001772818,0.0006302434,0.9744734,0.0000848539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005570331,0.00006206703,0.00002863478,0.0001807997,0.00003988164,0.00001806777,0.9984518,0.00006758439,0.001095373],"genre_scores_gemma":[0.001054667,0.0004237045,0.0005188114,0.0002269756,0.00002796369,0.0001612014,0.9918036,0.0001562238,0.005626811],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0893207,"threshold_uncertainty_score":0.451031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01918627358951846,"score_gpt":0.2413782575039634,"score_spread":0.222191983914445,"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."}}