{"id":"W6957817518","doi":"10.6068/dp14ba8d9a17c63","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: Salaries, wages and benefits, Museums (except art museums and galleries) | 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Economic statistics; Cultural heritage; Official statistics; Population; Publication; Public use; Socioeconomic status; Population 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":[0.001886144,0.002579986,0.002629525,0.009450992,0.002899813,0.005050065,0.005370199,0.001457877,0.08877027],"category_scores_gemma":[0.01851417,0.001739036,0.001935741,0.04487465,0.0007094503,0.00281875,0.002243762,0.003344887,0.06012901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04421884,"about_ca_system_score_gemma":0.124357,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9916876,"about_ca_topic_score_gemma":0.9902514,"domain_scores_codex":[0.9958397,0.0002240464,0.0004674232,0.0005947025,0.001937391,0.0009368345],"domain_scores_gemma":[0.9622265,0.001486003,0.001235641,0.0009823436,0.03253387,0.001535694],"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":[0.00001633583,0.000005316412,0.0009231964,0.0001772329,0.00001451536,0.000004894991,0.00001472766,0.00008631039,0.000006600335,0.0002314328,0.9975868,0.0009326048],"study_design_scores_gemma":[0.0001644328,0.0000108199,0.02334647,0.00087131,0.00006353546,0.0000242906,0.0005087556,0.0004916865,0.0001692746,0.0005840323,0.9736863,0.00007920105],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004852869,0.00003682764,0.00001523109,0.00009777801,0.00002568785,0.000008880617,0.9991136,0.00004194613,0.0006115122],"genre_scores_gemma":[0.0005828302,0.0001749562,0.0001995807,0.0001109441,0.0000160219,0.0000820265,0.9957378,0.00007518214,0.003020745],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08877027,"threshold_uncertainty_score":0.3208317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04380021668643198,"score_gpt":0.2444223547027488,"score_spread":0.2006221380163169,"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."}}