{"id":"W6920479618","doi":"10.6068/dp14ba8b23c7488","title":"Trend 2008 - 2010. Statistics Canada. CANSIM: Culture and Leisure - Museums, Historic Sites, Archives and Other Heritage Institutions | Country: Canada | Table: Heritage institutions, operating expenses, by North American Industry Classification System (NAICS) | Variable: Repair and maintenance, Zoos and botanical gardens | Units: %, 2008-2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-049.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Plasma Applications and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Economic statistics; Cultural heritage; Official statistics; Population; Public use; Publication; Socioeconomic status; Population 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002259698,0.0006574628,0.001004998,0.00008549782,0.0004322659,0.0002043885,0.0004463387,0.000482259,0.0001274527],"category_scores_gemma":[0.0002601268,0.0005974964,3.476632e-7,0.000316584,0.0009181638,0.0001609459,0.0003428153,0.001213374,0.000003446744],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003109893,"about_ca_system_score_gemma":0.007998665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9910071,"about_ca_topic_score_gemma":0.9948229,"domain_scores_codex":[0.9966919,0.0002116758,0.0007775089,0.001207433,0.0005453089,0.000566126],"domain_scores_gemma":[0.9964385,0.0004742995,0.0005297799,0.001597574,0.0000917267,0.0008681075],"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":[0.00004891938,0.00009313051,0.001075224,0.0006469766,0.0002049919,0.0003177181,0.000008739882,0.000003549455,0.00001613613,0.001207505,0.996322,0.00005507191],"study_design_scores_gemma":[0.0009416437,0.0001053366,0.0001624335,0.0001528999,0.0005669201,0.001042243,0.001201508,0.00215102,1.832643e-8,4.291619e-8,0.993036,0.0006399492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002789976,0.007730875,0.00002997498,0.00001504845,0.0002463338,0.0009223573,0.9876755,0.0001118487,0.00324012],"genre_scores_gemma":[0.000270636,0.004488261,0.001455132,0.0003017852,0.0001854942,0.0000613074,0.9885678,0.0001271068,0.004542522],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007687676,"threshold_uncertainty_score":0.9996476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.034169172180873,"score_gpt":0.2530696542914734,"score_spread":0.2189004821106004,"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."}}