{"id":"W6957965387","doi":"10.6068/dp14ba7f96ce948","title":"Trend 1997 - 2011. Statistics Canada. CANSIM: Society and Community - Volunteering and Donating | Country: Canada | Table: Charitable donors, by income group | Variable: Number of charitable donors | Units: #, 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; Summary 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":[0.002807315,0.002317923,0.002716645,0.009612865,0.003903049,0.005963005,0.005040297,0.001585289,0.1224927],"category_scores_gemma":[0.02367988,0.002012365,0.002153292,0.04489094,0.0007156535,0.002890711,0.002740058,0.003292113,0.06485999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06274043,"about_ca_system_score_gemma":0.173307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947773,"about_ca_topic_score_gemma":0.9923908,"domain_scores_codex":[0.9947479,0.0003608819,0.0005697369,0.0006025776,0.002488389,0.001230435],"domain_scores_gemma":[0.9581208,0.001719238,0.001193783,0.001326882,0.03549789,0.002141342],"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":[0.00001887662,0.000005015055,0.0006530717,0.0002210988,0.00001518683,0.000005320181,0.00002151382,0.00007981349,0.000006676828,0.0004144118,0.9970078,0.001551249],"study_design_scores_gemma":[0.0001323686,0.0000106358,0.01642157,0.0009447151,0.00005731377,0.00002419042,0.0005160262,0.0003809962,0.0001432159,0.0007104908,0.9805779,0.0000805668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004682957,0.0000568051,0.00002933363,0.0001704515,0.00003639457,0.00001917109,0.9982414,0.0000743839,0.001325102],"genre_scores_gemma":[0.0009356379,0.0004253676,0.0005429439,0.000232372,0.00002447095,0.0001862088,0.9910739,0.0001896711,0.006389365],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1224927,"threshold_uncertainty_score":0.4552158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204202495656455,"score_gpt":0.2432948616000161,"score_spread":0.2212528366434516,"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."}}