{"id":"W6939012785","doi":"10.6068/dp14ba8c0d39a45","title":"Trend 1993 - 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 postsecondary program, Both sexes, Total, registration status | Units: #, 1993-2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-071.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistics education; Census; Recreation; Socioeconomic status; Publication; Statistical analysis; 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":[0.002565166,0.002382801,0.002839809,0.009023554,0.003264294,0.004812236,0.005359546,0.001539223,0.09385393],"category_scores_gemma":[0.02188528,0.001773547,0.002226123,0.04459435,0.000643294,0.002389911,0.002346732,0.003160632,0.05097103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06082101,"about_ca_system_score_gemma":0.1602666,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946819,"about_ca_topic_score_gemma":0.9922019,"domain_scores_codex":[0.9947167,0.0003352647,0.00066808,0.0006857004,0.002425363,0.00116894],"domain_scores_gemma":[0.954803,0.001706008,0.001419128,0.001243511,0.03877751,0.002050862],"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":[0.0000266634,0.000006511517,0.001080509,0.0002952638,0.00002321132,0.000005473472,0.00002055319,0.0001078521,0.000009628328,0.0003605629,0.99642,0.001643655],"study_design_scores_gemma":[0.000185305,0.00001391315,0.02903747,0.0009963716,0.00008531615,0.00002484154,0.0004492639,0.000429143,0.0001641021,0.0006377313,0.9678898,0.0000866472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004668793,0.00004495672,0.00002133027,0.0001160755,0.0000263054,0.00001595384,0.9988869,0.00005009066,0.0007917179],"genre_scores_gemma":[0.0009229056,0.0003097495,0.0004361343,0.0001905925,0.00002034754,0.0001585034,0.9938929,0.0001124988,0.003956411],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09385393,"threshold_uncertainty_score":0.4412894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03743589064080011,"score_gpt":0.2801749340966682,"score_spread":0.2427390434558681,"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."}}