{"id":"W6976978642","doi":"10.6068/dp14ba7fcc85b58","title":"Trend 1997 - 2011. Statistics Canada. CANSIM: Society and Community - Volunteering and Donating | Country: Canada | Table: Charitable donors, by age and sex | Variable: Charitable donations, females | Units: $CAD x 1,000, 1997-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-192.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Official statistics; Socioeconomic status; Economic statistics; Social statistics; Population; Demographic statistics; 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":[0.002673848,0.002358819,0.002772438,0.008638488,0.003737071,0.005653318,0.005153481,0.00157383,0.1041521],"category_scores_gemma":[0.02161729,0.002034507,0.002261735,0.03997307,0.0006997975,0.002705029,0.00265293,0.003426668,0.05591242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06696152,"about_ca_system_score_gemma":0.1682351,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953969,"about_ca_topic_score_gemma":0.9934877,"domain_scores_codex":[0.9950548,0.0003332191,0.0005364573,0.0005648631,0.002304597,0.001206097],"domain_scores_gemma":[0.9605637,0.001482745,0.001119239,0.001123451,0.03361925,0.002091695],"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":[0.00002248228,0.000005867202,0.0008568012,0.0002398007,0.00001734994,0.000005917777,0.00002210301,0.00009022798,0.000007264448,0.000410455,0.9967005,0.001621286],"study_design_scores_gemma":[0.0001589927,0.00001309767,0.02158179,0.001087373,0.00007097098,0.00002875118,0.0005807907,0.0004659798,0.0001706739,0.0007196751,0.9750317,0.00009018771],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005845216,0.00006718858,0.00003036712,0.000185812,0.00003956143,0.00002033044,0.9982575,0.00007114044,0.001269688],"genre_scores_gemma":[0.001092945,0.0004836016,0.0005536742,0.0002525962,0.00002562002,0.0001919731,0.9907237,0.000174213,0.006501752],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1041521,"threshold_uncertainty_score":0.4858421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03396035135847698,"score_gpt":0.2506055970388711,"score_spread":0.2166452456803941,"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."}}