{"id":"W6939453316","doi":"10.6068/dp14ba8d477c027","title":"Trend 1993 - 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: Humanities, Community college certificate or diploma and other community college level, Both sexes, Total, registration status | Units: #, 1993-2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-073.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","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":[],"consensus_categories":[],"category_scores_codex":[0.002486603,0.00244906,0.002890546,0.009327771,0.003272359,0.004648096,0.005269418,0.001487388,0.0827127],"category_scores_gemma":[0.01917549,0.00177562,0.002153188,0.04459279,0.0006559454,0.002340884,0.002174512,0.003222291,0.04690013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06200001,"about_ca_system_score_gemma":0.166313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9954516,"about_ca_topic_score_gemma":0.9933148,"domain_scores_codex":[0.994829,0.0003190996,0.0005728495,0.0006757985,0.002450853,0.001152518],"domain_scores_gemma":[0.9607565,0.001406038,0.001277711,0.001064996,0.03359643,0.001898355],"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":[0.00002900363,0.000007280626,0.001220409,0.0002978063,0.00002524796,0.000006267314,0.00002428466,0.000127829,0.00001070856,0.00036136,0.9961395,0.001750277],"study_design_scores_gemma":[0.0001834952,0.0000147453,0.03057409,0.0009372686,0.00008850166,0.00002661984,0.0005023274,0.000479835,0.0001752104,0.000570712,0.9663571,0.00008998336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005752046,0.00005427355,0.00002295732,0.0001274483,0.00002858878,0.00001542986,0.998877,0.00005277896,0.0007639746],"genre_scores_gemma":[0.001124668,0.0003656078,0.0004479333,0.0001839575,0.00002299173,0.000150701,0.9931461,0.0001142495,0.004443879],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0827127,"threshold_uncertainty_score":0.4498436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0960861329521016,"score_gpt":0.2658200591242806,"score_spread":0.169733926172179,"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."}}