{"id":"W6976291443","doi":"10.6068/dp14ba80c677212","title":"Trend 2007 - 2011. Statistics Canada. CANSIM: Education, Training and Learning - Students | Country: Canada | Table: Postsecondary graduates, by immigration status, country of citizenship and sex | Variable: Serbia, International Students, Both sexes, University | Units: #, 2007-2011. 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; Immigration; Citizenship; 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":[0.002504295,0.002402229,0.002959801,0.009604733,0.003734529,0.005737562,0.005301161,0.00166013,0.08902504],"category_scores_gemma":[0.02153823,0.001944642,0.002298302,0.04508174,0.0007305013,0.002806035,0.002536251,0.003647714,0.05493585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06415596,"about_ca_system_score_gemma":0.1898995,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952023,"about_ca_topic_score_gemma":0.9930837,"domain_scores_codex":[0.9946234,0.0003593453,0.0005622138,0.0006041513,0.002555342,0.001295492],"domain_scores_gemma":[0.9564557,0.001577232,0.001227978,0.001156285,0.03733701,0.00224574],"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":[0.00002233971,0.000006565196,0.0009125901,0.0002176291,0.00001887158,0.000005675681,0.00002051996,0.00009775944,0.00000831503,0.0003620292,0.9967771,0.001550552],"study_design_scores_gemma":[0.0001474758,0.00001203835,0.02179273,0.0009486046,0.00007405264,0.00002722652,0.0005520596,0.0005138258,0.0001902218,0.00066434,0.9749824,0.00009492638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005742353,0.00006165988,0.00003041689,0.0001928234,0.00004280066,0.000018771,0.9984488,0.00007419805,0.001072967],"genre_scores_gemma":[0.001055846,0.0004139949,0.0005571123,0.0002490753,0.00002901835,0.0001700167,0.9920195,0.0001710209,0.00533446],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08902504,"threshold_uncertainty_score":0.4654862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01774195936357255,"score_gpt":0.2524083254710452,"score_spread":0.2346663661074726,"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."}}