{"id":"W6901369037","doi":"10.6068/dp14ba8a6f20f29","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: Business, management and public administration, Other graduate levels, Females, Full-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; Publication; Statistical analysis; Descriptive statistics; Socioeconomic status","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":[0.002707038,0.002537477,0.002954185,0.01024518,0.003550181,0.005271391,0.005438981,0.001616672,0.0975102],"category_scores_gemma":[0.02380477,0.00185027,0.002177193,0.04860563,0.000675173,0.002554334,0.002480306,0.003284135,0.05792782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06185282,"about_ca_system_score_gemma":0.1689901,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943433,"about_ca_topic_score_gemma":0.9918629,"domain_scores_codex":[0.9939415,0.0003758896,0.0007310271,0.0007681217,0.002897259,0.00128613],"domain_scores_gemma":[0.9508855,0.001857315,0.00151048,0.001329684,0.0422292,0.002187919],"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":[0.00002346401,0.000006064179,0.0009480647,0.0002668844,0.00002010636,0.000005519193,0.00002026688,0.000105325,0.000009201132,0.0003626664,0.9966467,0.001585694],"study_design_scores_gemma":[0.0001537778,0.00001231333,0.02494051,0.0008985918,0.00007165989,0.00002246006,0.0004460295,0.0003849032,0.0001530819,0.0006313673,0.9722019,0.00008336589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004358481,0.00004541033,0.00002244686,0.0001179255,0.00002856234,0.00001494355,0.9988851,0.00005168446,0.0007902829],"genre_scores_gemma":[0.0008568478,0.000316567,0.0004331254,0.0001816323,0.00002179362,0.0001493047,0.9936965,0.0001219245,0.00422239],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0975102,"threshold_uncertainty_score":0.4487757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06971078084385453,"score_gpt":0.27505160081383,"score_spread":0.2053408199699754,"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."}}