{"id":"W6920323518","doi":"10.6068/dp14baa26521343","title":"Trend 2000 - 2009. Statistics Canada. CANSIM: Education, Training and Learning - Students | Country: Canada | Province: Nunavut | Table: College enrolments, by registration status, program level, Classification of Instructional Programs, Primary Grouping (CIP_PG) and sex | Variable: Architecture, engineering and related technologies, College certificate or diploma and other college level, Both sexes, Full-time student | Units: #, 2000-2009. 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; Certificate; Socioeconomic status; Publication; Statistical analysis; Economic statistics; Social 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":[0.00224469,0.002351394,0.002843648,0.009272218,0.00319423,0.004647478,0.005142833,0.001477672,0.07336795],"category_scores_gemma":[0.02044308,0.001618056,0.002224187,0.04371125,0.0006472268,0.002292908,0.002234896,0.002946119,0.04115333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05513651,"about_ca_system_score_gemma":0.1520638,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951305,"about_ca_topic_score_gemma":0.9933623,"domain_scores_codex":[0.995353,0.0002811333,0.0005677204,0.0006389567,0.002072974,0.001086113],"domain_scores_gemma":[0.9639163,0.00140069,0.001225344,0.001032252,0.03071118,0.001714208],"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":[0.00003145421,0.000007053261,0.001539222,0.0003345126,0.00002727714,0.00000712004,0.00002750525,0.0001349528,0.00001112499,0.0003695518,0.995828,0.001682246],"study_design_scores_gemma":[0.0001939327,0.00001514741,0.03337537,0.00108397,0.00009722513,0.00002962429,0.0006114639,0.000547313,0.000202464,0.0005969619,0.9631502,0.00009621337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005791408,0.00004794863,0.00001899777,0.0001128475,0.00002755557,0.00001360052,0.9990144,0.00004431188,0.0006623752],"genre_scores_gemma":[0.001037452,0.0002821675,0.000345893,0.0001594411,0.00002023448,0.0001355035,0.9944349,0.00008354612,0.003500881],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07336795,"threshold_uncertainty_score":0.4000452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0384893684044612,"score_gpt":0.2633455727046153,"score_spread":0.2248562043001541,"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."}}