{"id":"W6939005078","doi":"10.6068/dp14ba8190ed99","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: Cambodia, Total, immigration status, Both sexes, 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; Immigration; Census; 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":[0.002370129,0.002388601,0.002889234,0.009263937,0.003634654,0.005557477,0.00526615,0.001633992,0.09238758],"category_scores_gemma":[0.02088906,0.001912772,0.002298206,0.04512096,0.0006825874,0.002908381,0.002464246,0.003448956,0.05481046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06070546,"about_ca_system_score_gemma":0.1747321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950092,"about_ca_topic_score_gemma":0.9923185,"domain_scores_codex":[0.9949151,0.000329157,0.0005412027,0.0005857123,0.00236883,0.001259956],"domain_scores_gemma":[0.9587173,0.001469785,0.001209456,0.001078388,0.03549515,0.002029853],"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":[0.00002428273,0.000006641842,0.0009519251,0.00024757,0.00001942274,0.000006216377,0.00002110846,0.0001102392,0.00000881465,0.0003891768,0.9966068,0.00160773],"study_design_scores_gemma":[0.0001470654,0.00001203391,0.02204755,0.000940669,0.00006960619,0.00002647757,0.000509494,0.0004776818,0.0001933192,0.0006109578,0.9748747,0.00009043845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000054231,0.00005927669,0.00002682149,0.0001648649,0.00003936166,0.00001788369,0.9985012,0.00006672805,0.001069714],"genre_scores_gemma":[0.0009916474,0.0004090606,0.0004799292,0.0002061568,0.00002619185,0.0001575238,0.9922729,0.0001558932,0.005300768],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09238758,"threshold_uncertainty_score":0.440451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01635322116891204,"score_gpt":0.2352939290850135,"score_spread":0.2189407079161015,"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."}}