{"id":"W6957873979","doi":"10.6068/dp14ba8af6e5d85","title":"Trend 2001 - 2009. Statistics Canada. CANSIM: Education, Training and Learning - Fields of Study | Country: Canada | Table: College enrolments, by registration status, program level, Classification of Instructional Programs, Primary Grouping (CIP_PG) and sex | Variable: Health, parks, recreation and fitness, College university transfer program, Males, Part-time student | Units: #, 2001-2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-071.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistics education; Census; Recreation; Socioeconomic status; Economic statistics; Statistical analysis; Publication; Descriptive 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":[0.002725128,0.002504231,0.002954318,0.009272191,0.003348835,0.004766535,0.005407511,0.001607643,0.0895772],"category_scores_gemma":[0.02261951,0.001849309,0.002288542,0.04438554,0.0006685988,0.002330965,0.002295599,0.003219701,0.04799363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06096868,"about_ca_system_score_gemma":0.1649068,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947063,"about_ca_topic_score_gemma":0.9922315,"domain_scores_codex":[0.9943675,0.0003619925,0.0007077364,0.0007242381,0.002618767,0.001219653],"domain_scores_gemma":[0.9517699,0.001892429,0.001487506,0.00131986,0.04135037,0.002180018],"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":[0.00002906729,0.000006778579,0.001142484,0.0003207558,0.00002395655,0.000006048107,0.00002147365,0.0001244476,0.00001056147,0.0003355916,0.9963237,0.001655235],"study_design_scores_gemma":[0.0001926059,0.00001453557,0.02932988,0.001060394,0.00008796404,0.00002625646,0.0004705599,0.0004784641,0.0001793684,0.0006255453,0.9674413,0.0000932125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004661938,0.00004306369,0.00002071399,0.0001136986,0.00002670526,0.0000151218,0.9989786,0.00004881859,0.0007067562],"genre_scores_gemma":[0.0008881505,0.000295801,0.0004419328,0.0001898574,0.00001971015,0.0001560204,0.994032,0.0001106949,0.003865929],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0895772,"threshold_uncertainty_score":0.4423608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04481998090152532,"score_gpt":0.2745323243898631,"score_spread":0.2297123434883378,"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."}}