{"id":"W6938850247","doi":"10.6068/dp14ba7c220e63","title":"Trend 1998 - 2012. Statistics Canada. CANSIM: Education, Training and Learning - Students | Country: Canada | Table: Enrolments in regular programs for youth in public elementary and secondary schools, by grade and sex | Variable: Grade 1, Both sexes | Units: #, 1998-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-073.","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; Descriptive statistics; Publication; Summary statistics; Economic 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":[0.002567796,0.002432064,0.003037588,0.009627876,0.003427726,0.004987371,0.005463297,0.001513102,0.08991876],"category_scores_gemma":[0.02069307,0.001990697,0.002381386,0.04437906,0.0006663818,0.002599614,0.00239318,0.003488853,0.04851541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06496199,"about_ca_system_score_gemma":0.179445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959913,"about_ca_topic_score_gemma":0.9939751,"domain_scores_codex":[0.9947065,0.0003438856,0.0005537633,0.0006081564,0.002549596,0.001238172],"domain_scores_gemma":[0.9595565,0.001348099,0.00117811,0.00102364,0.03476814,0.002125523],"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":[0.00002919696,0.000007685309,0.001122489,0.0002814204,0.00002280463,0.000006546422,0.00002726542,0.0001068182,0.000009323706,0.00040028,0.9960751,0.001911093],"study_design_scores_gemma":[0.000184897,0.00001676227,0.03069877,0.001042377,0.00008865999,0.00003051919,0.0005962191,0.0005118093,0.0001898763,0.0006615877,0.9658829,0.00009564176],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000664749,0.0000659764,0.00003109181,0.0001794297,0.00004007694,0.00002156964,0.9983779,0.00007699195,0.001140509],"genre_scores_gemma":[0.001416999,0.0004852651,0.0006229186,0.0002599402,0.00003126485,0.0002154454,0.9902861,0.0001795827,0.006502501],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08991876,"threshold_uncertainty_score":0.4713345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03425818853772426,"score_gpt":0.2700625359694698,"score_spread":0.2358043474317456,"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."}}