{"id":"W6976867894","doi":"10.6068/dp16e8ee6413667","title":"TREND: Statistics Canada. StatCan - Current Tables: Society and Community | Table ID: 11100002 | Table Name: Tax filers with charitable donations by sex and age | Variable 1: Number of tax filers (Number) | Variable 2: N/A | Variable 3: N/A | Variable 4: N/A | Variable 5: N/A | Variable 6: N/A, 1997 - 2017. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 075-002-028","year":2019,"lang":"en","type":"other","venue":"Data Planet","topic":"Evasion and Academic Success Factors","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variable (mathematics); Official statistics; Table (database); Population; Census; Summary statistics; Publication; Variables","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.008756566,0.002203566,0.00328886,0.000350863,0.003351159,0.003222888,0.008148726,0.002132326,0.05266226],"category_scores_gemma":[0.001562211,0.002238278,0.00001507116,0.002566002,0.001741971,0.005568159,0.005341917,0.005966019,0.00006751805],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007320666,"about_ca_system_score_gemma":0.01046671,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9712824,"about_ca_topic_score_gemma":0.3190894,"domain_scores_codex":[0.9837399,0.00259569,0.002487813,0.003704534,0.003578293,0.003893784],"domain_scores_gemma":[0.9809265,0.007419605,0.00261001,0.006990582,0.00009284032,0.00196046],"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":[0.000258879,0.0008159761,0.0004095045,0.001987391,0.001256191,0.00005578547,0.0003815484,0.0003428594,0.00002932398,0.01290974,0.9812622,0.0002905802],"study_design_scores_gemma":[0.004924191,0.0001199453,0.000003857037,0.0008000597,0.001368091,0.00008581817,0.00500039,0.004025946,9.141536e-7,0.0002718837,0.9809583,0.00244054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002142954,0.001826763,0.005364963,0.0000636819,0.001029162,0.00213563,0.9128305,0.0003176397,0.07642952],"genre_scores_gemma":[0.000008856577,0.00384521,0.06190477,0.0009445036,0.0005252045,0.0001351563,0.8900483,0.0005937625,0.04199425],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.652193,"threshold_uncertainty_score":0.9991631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02990243621370612,"score_gpt":0.2884323262207836,"score_spread":0.2585298900070774,"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."}}