{"id":"W6901649825","doi":"10.6068/dp14ba8718a0b98","title":"Trend 1997 - 2008. Statistics Canada. CANSIM: Society and Community - Volunteering and Donating | Country: Canada | Table: Production, income and outlay accounts of nonprofit institutions and volunteering | Variable: Capital consumption allowances (x 1,000,000), Total nonprofit sector | Units: $CAD, 1997-2008. 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; Economic statistics; Descriptive statistics; Socioeconomic status; Population; Personal income; Social statistics; National accounts","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"],"consensus_categories":[],"category_scores_codex":[0.001557811,0.001129151,0.001466189,0.0001788248,0.0008931512,0.0004720902,0.001119616,0.0005886936,0.0003591733],"category_scores_gemma":[0.0004080583,0.001187256,3.799713e-7,0.0004978253,0.001417656,0.001108662,0.001671199,0.00197888,0.000005501337],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005526015,"about_ca_system_score_gemma":0.007524336,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.999514,"about_ca_topic_score_gemma":0.9991028,"domain_scores_codex":[0.9943329,0.0005709579,0.001279627,0.001500412,0.001318455,0.0009976614],"domain_scores_gemma":[0.9949046,0.0008136382,0.001194185,0.002145729,0.000244348,0.0006975198],"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":[0.0001034098,0.00007674973,0.002296557,0.00303849,0.0006653604,0.00008048363,0.00007163514,0.0000744378,0.00005304625,0.000128136,0.9933487,0.00006305825],"study_design_scores_gemma":[0.001322218,0.00009854355,0.0002787839,0.0002894716,0.0006725793,0.0007880076,0.001346433,0.007071764,2.12039e-7,2.320122e-7,0.9869249,0.001206881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009617466,0.006496827,0.00001369468,0.000002285246,0.0008238975,0.001072178,0.9903146,0.0001288446,0.0001859247],"genre_scores_gemma":[0.001957359,0.001594294,0.0007039027,0.00005047472,0.0002561377,0.00003813125,0.9945862,0.0003298992,0.0004835523],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006997326,"threshold_uncertainty_score":0.9990577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03106220579105841,"score_gpt":0.2532619106794359,"score_spread":0.2221997048883775,"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."}}