{"id":"W6976400161","doi":"10.6068/dp14ba8263cb975","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Education, Training and Learning - Students | Country: Canada | Table: Postsecondary graduates, by immigration status, country of citizenship and sex | Variable: Congo, Republic of the, International Students, Females, College | Units: #, 2000-2011. 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; Official statistics; Immigration; Socioeconomic status; Descriptive statistics; Economic 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":[0.002366287,0.002429211,0.002907621,0.00973976,0.003709534,0.005841833,0.005234569,0.001648244,0.09629004],"category_scores_gemma":[0.02207807,0.00196097,0.002316349,0.04723071,0.000696449,0.003001342,0.002535112,0.003441986,0.06131082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05976308,"about_ca_system_score_gemma":0.170366,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949563,"about_ca_topic_score_gemma":0.9926641,"domain_scores_codex":[0.9949386,0.0003291057,0.0005425426,0.0006052367,0.00231869,0.001265766],"domain_scores_gemma":[0.9575419,0.001600072,0.001252848,0.001192414,0.0362898,0.002122997],"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":[0.00002158124,0.000005615791,0.0008332487,0.0002191803,0.00001683665,0.000005590201,0.00001983903,0.00009882756,0.000007580411,0.0003467698,0.9969934,0.00143147],"study_design_scores_gemma":[0.0001422083,0.00001107031,0.02003213,0.0009195781,0.00006548326,0.00002543411,0.0004990365,0.0004655651,0.0001782342,0.0006273227,0.9769438,0.00009005881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004749135,0.0000505205,0.00002465427,0.0001530568,0.00003443638,0.00001532619,0.9986085,0.00007100798,0.000995024],"genre_scores_gemma":[0.0008498181,0.000337442,0.0004490298,0.0001886336,0.00002350574,0.0001442276,0.9930552,0.0001607385,0.004791482],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09629004,"threshold_uncertainty_score":0.4336135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02422239464799157,"score_gpt":0.264044917094946,"score_spread":0.2398225224469545,"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."}}