{"id":"W6976774618","doi":"10.6068/dp14ba824ccb840","title":"Trend 1995 - 2010. Statistics Canada. CANSIM: Government - Government Business Enterprises | Country: Canada | Table: Income and expenses of local government business enterprises, by industry, end of fiscal year closest to December 31 | Variable: Debt charges, Telephone, Local government | Units: $CAD x 1,000, 1995-2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-105.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Hip and Femur Fractures","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Economic statistics; Official statistics; Local government; Census; Goods and services; Politics; Debt; Index (typography)","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":[0.001816426,0.002363385,0.002671073,0.00906213,0.003256753,0.005086148,0.005016162,0.001461055,0.0830692],"category_scores_gemma":[0.01596747,0.00172805,0.001986109,0.04153758,0.0005819169,0.00261843,0.002237745,0.003155363,0.0550655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05253722,"about_ca_system_score_gemma":0.1365574,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946281,"about_ca_topic_score_gemma":0.9932019,"domain_scores_codex":[0.9959792,0.0002124688,0.0004324186,0.0005271332,0.001886502,0.0009622371],"domain_scores_gemma":[0.9696648,0.0009272334,0.0009823845,0.0008296097,0.02616551,0.001430396],"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":[0.00002059831,0.000006012421,0.0009804433,0.0002200837,0.00001832333,0.000007017425,0.00001880129,0.00009406929,0.000007692895,0.0003732069,0.9967721,0.001481653],"study_design_scores_gemma":[0.0001357885,0.00001198277,0.02523291,0.0008475067,0.0000704032,0.00002752348,0.0004660262,0.0004713335,0.0001713508,0.0006422379,0.9718415,0.00008137604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006039207,0.00005634466,0.00002159818,0.0001243315,0.00002664497,0.00001292496,0.9987527,0.00005004401,0.0008950485],"genre_scores_gemma":[0.000889187,0.0003047246,0.000307875,0.0001427951,0.0000181268,0.0001009426,0.9937774,0.00009177606,0.004367239],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0830692,"threshold_uncertainty_score":0.3811859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01253217579364706,"score_gpt":0.2282951562655772,"score_spread":0.2157629804719302,"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."}}