{"id":"W6976793204","doi":"10.6068/dp14ba852fa0f28","title":"Trend 1999 - 2011. Statistics Canada. CANSIM: Education, Training and Learning - Students | Country: Canada | Table: Postsecondary graduates, by tongue, sex and Classification of Instructional Programs, Primary Grouping (CIP_PG) | Variable: Health, parks, recreation and fitness, Males, French, Total, institution type | 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":"Diverse Cultural and Historical Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistics education; Census; Socioeconomic status; Recreation; Descriptive statistics; Economic statistics; Statistical analysis; Publication","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":[0.002466198,0.002432272,0.002879226,0.009156276,0.003465854,0.004923293,0.005298737,0.001605195,0.0926468],"category_scores_gemma":[0.02169175,0.001774459,0.002418993,0.04126491,0.0006596944,0.002612793,0.002372306,0.003156182,0.05090271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05613262,"about_ca_system_score_gemma":0.1589344,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947737,"about_ca_topic_score_gemma":0.9923986,"domain_scores_codex":[0.9949793,0.0003194804,0.0005807834,0.0006382129,0.002348714,0.001133431],"domain_scores_gemma":[0.95963,0.001529039,0.001221286,0.001109629,0.03471811,0.001792008],"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":[0.00002716484,0.000006596614,0.001177672,0.0003043364,0.00002461654,0.00000691484,0.00002198439,0.000122273,0.00000964231,0.000350893,0.9961575,0.001790474],"study_design_scores_gemma":[0.0001795244,0.00001397606,0.02625154,0.001092375,0.00009089764,0.00002910704,0.000500072,0.0005195212,0.0001818226,0.0006361854,0.9704099,0.00009510387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005345295,0.00005605129,0.00002549141,0.0001493051,0.00003365716,0.00001595832,0.998767,0.00005596182,0.000843167],"genre_scores_gemma":[0.0009703935,0.0003738454,0.0004365089,0.0001981864,0.00002468339,0.0001485261,0.9933984,0.0001251784,0.004324237],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0926468,"threshold_uncertainty_score":0.4072726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04349732814381996,"score_gpt":0.2742278863041185,"score_spread":0.2307305581602986,"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."}}