{"id":"W6939254867","doi":"10.6068/dp14ba8f72c5537","title":"Trend 2000 - 2009. Statistics Canada. CANSIM: Education, Training and Learning - Students | Country: Canada | Table: University enrolments, by registration status, program level, Classification of Instructional Programs, Primary Grouping (CIP_PG) and sex | Variable: Architecture, engineering and related technologies, Community college certificate or diploma and other community college level, Males, Total, registration status | 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; Training (meteorology)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002325214,0.002421914,0.002810251,0.009519149,0.003186557,0.004783385,0.005274825,0.00150655,0.08108613],"category_scores_gemma":[0.0199405,0.001725585,0.002174731,0.04458632,0.0006703796,0.00245493,0.002238965,0.00309646,0.04693482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05862408,"about_ca_system_score_gemma":0.1633503,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947484,"about_ca_topic_score_gemma":0.9924085,"domain_scores_codex":[0.9950916,0.000285726,0.0005562695,0.0006396261,0.00231795,0.001108877],"domain_scores_gemma":[0.9596898,0.001484809,0.001253007,0.00105664,0.03464868,0.001867141],"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":[0.00002875357,0.000007238274,0.001223703,0.0002952545,0.00002338605,0.000006449229,0.0000238613,0.0001298224,0.00001086206,0.0003624244,0.9961883,0.001699941],"study_design_scores_gemma":[0.0001768977,0.0000136681,0.02695317,0.0009272904,0.00008130322,0.00002574051,0.0005062116,0.0005036815,0.0001878727,0.0005848584,0.96995,0.00008927887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005575573,0.00004680636,0.00002223248,0.000125567,0.00002798878,0.00001496475,0.9989026,0.00005499947,0.0007490332],"genre_scores_gemma":[0.0009595355,0.0002904756,0.0003943339,0.0001746548,0.00002080471,0.000141114,0.9939072,0.0001030501,0.004009005],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9189138,"threshold_uncertainty_score":0.4253495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0657193881908361,"score_gpt":0.2631600923726573,"score_spread":0.1974407041818211,"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."}}