{"id":"W6901682524","doi":"10.6068/dp14ba8aebe6113","title":"Trend 1993 - 2009. Statistics Canada. CANSIM: Education, Training and Learning - Fields of Study | Country: Canada | Table: University enrolments, by registration status, program level, Classification of Instructional Programs, Primary Grouping (CIP_PG) and sex | Variable: Visual and performing arts and communications technologies, Graduate level, Males, Part-time student | 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; Economic statistics; Statistical analysis; Official statistics; Socioeconomic status; 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":[0.002624279,0.00257055,0.002968453,0.01017493,0.00356307,0.005197747,0.005488098,0.001637038,0.09080632],"category_scores_gemma":[0.02328666,0.001809841,0.002204315,0.04829476,0.0006772943,0.002517616,0.002459455,0.003265523,0.05375794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06009082,"about_ca_system_score_gemma":0.1676343,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942321,"about_ca_topic_score_gemma":0.9918035,"domain_scores_codex":[0.9941287,0.0003546818,0.00071749,0.0007638432,0.002786446,0.001248883],"domain_scores_gemma":[0.9522626,0.001829624,0.001465956,0.001280097,0.04107834,0.002083344],"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":[0.00002469023,0.000006302278,0.001009672,0.0002833008,0.00002122755,0.000005816216,0.0000206483,0.0001120172,0.000009800156,0.0003564681,0.9965789,0.001571098],"study_design_scores_gemma":[0.000163408,0.00001266974,0.02514669,0.0009396602,0.00007557593,0.0000233052,0.000462434,0.0004126268,0.0001643116,0.0006291009,0.971885,0.00008522331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004255566,0.0000433442,0.00002108213,0.0001097024,0.00002653229,0.00001412557,0.9989968,0.00004768594,0.0006982029],"genre_scores_gemma":[0.000813317,0.0002963769,0.0003959242,0.0001693097,0.0000202988,0.0001403006,0.994408,0.000106475,0.003650075],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09080632,"threshold_uncertainty_score":0.4359915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08249088133755622,"score_gpt":0.2930812929206229,"score_spread":0.2105904115830667,"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."}}