{"id":"W6958264641","doi":"10.6068/dp14ba82269653","title":"Trend 1977 - 1999. Statistics Canada. CANSIM: Education, Training and Learning - Fields of Study | Country: Canada | Table: Full-time enrolments and graduates in postsecondary community college programs, by program field, year in program and sex | Variable: Mathematics and computer science, Second year, Both sexes | Units: #, 1977-1999. 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; Socioeconomic status; Statistical analysis; Publication; Community college; Economic statistics; Official 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":[0.002768719,0.002417261,0.002848379,0.01050832,0.003487961,0.00497561,0.005348248,0.001574642,0.1074706],"category_scores_gemma":[0.0262466,0.001859784,0.002158452,0.04720407,0.0007125685,0.002783552,0.002504486,0.00327923,0.06406038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05627694,"about_ca_system_score_gemma":0.1643635,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937919,"about_ca_topic_score_gemma":0.9908395,"domain_scores_codex":[0.994023,0.00038269,0.0007249644,0.0007275961,0.002890364,0.001251388],"domain_scores_gemma":[0.9484095,0.001964813,0.001454608,0.001490576,0.04455583,0.002124691],"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":[0.00002418129,0.000006495868,0.001064146,0.0002747954,0.00002216807,0.000005947872,0.00002124837,0.0001156091,0.0000101481,0.0004200528,0.9961501,0.001885072],"study_design_scores_gemma":[0.0001429843,0.0000113829,0.02134547,0.0008316562,0.00006360852,0.00002218999,0.0003967369,0.0003787176,0.0001575597,0.000690228,0.9758803,0.00007932835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004702741,0.00004764356,0.0000328479,0.0001258986,0.00003448256,0.00001993455,0.9985972,0.00006888135,0.001026004],"genre_scores_gemma":[0.0008856185,0.0003232858,0.0005410096,0.0001907314,0.00002301178,0.0001685917,0.9931384,0.0001547925,0.0045746],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1074706,"threshold_uncertainty_score":0.4083197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02332274832959854,"score_gpt":0.2693801704563509,"score_spread":0.2460574221267523,"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."}}