{"id":"W6957886784","doi":"10.6068/dp14ba7c8ff2289","title":"Trend 2004 - 2010. Statistics Canada. CANSIM: Business, Consumer and Property Services - Arts, Entertainment and Recreation | Country: Canada | Table: Heritage institutions, summary statistics, by North American Industry Classification System (NAICS) | Variable: Historic and heritage sites, Operating expenses (x 1,000,000) | Units: , 2004-2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-010.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recreation; Entertainment; Census; Amusement; Official statistics; Descriptive statistics; Tourism; Socioeconomic status; Cultural heritage","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":[0.001790718,0.002557381,0.002617654,0.01006809,0.00336535,0.00522747,0.005487086,0.001413972,0.08771285],"category_scores_gemma":[0.01767313,0.001670605,0.001897824,0.04720302,0.000704054,0.002791901,0.002295981,0.002959647,0.0537914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05099884,"about_ca_system_score_gemma":0.1435358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948474,"about_ca_topic_score_gemma":0.9937502,"domain_scores_codex":[0.9956898,0.0002361275,0.0004472767,0.0005929967,0.002020815,0.001012971],"domain_scores_gemma":[0.9673294,0.00123437,0.001059896,0.0009350777,0.02783501,0.001606299],"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":[0.00001762848,0.000005183029,0.0008543187,0.0001739267,0.00001603162,0.000005758375,0.0000175171,0.0000997614,0.00000820984,0.0003736817,0.99723,0.001198078],"study_design_scores_gemma":[0.0001143576,0.000009751767,0.01957076,0.0006530847,0.00006326474,0.00002493281,0.0004752269,0.0005008922,0.0001866084,0.0006376647,0.977686,0.00007754737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005326413,0.00004451225,0.00002288497,0.000112488,0.00002439424,0.00001058011,0.9988151,0.00005535615,0.0008616035],"genre_scores_gemma":[0.0007639574,0.000239104,0.0003078001,0.0001235331,0.00001646221,0.00008325528,0.9945197,0.00009707387,0.003849159],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08771285,"threshold_uncertainty_score":0.3700243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03490230204789476,"score_gpt":0.2412081812616763,"score_spread":0.2063058792137815,"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."}}