{"id":"W6939452558","doi":"10.6068/dp14ba7bc9d4886","title":"Trend 1994 - 2003. Statistics Canada. CANSIM: Business, Consumer and Property Services - Arts, Entertainment and Recreation | Country: Canada | Table: Summary profile of heritage institutions and nature parks | Variable: Admission earned revenues, All types of museums | Units: , 1994-2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-010.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Historical, Literary, and Cultural Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recreation; Entertainment; Amusement; Census; Socioeconomic status; Descriptive statistics; Tourism; Official 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":[0.002132758,0.002602907,0.002777134,0.0102665,0.003487958,0.00535827,0.005787214,0.001548657,0.0833343],"category_scores_gemma":[0.01867871,0.001749087,0.002054773,0.04867424,0.0007476114,0.002804155,0.002310778,0.003240531,0.05170603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05888903,"about_ca_system_score_gemma":0.1622336,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958468,"about_ca_topic_score_gemma":0.9943446,"domain_scores_codex":[0.995033,0.000280753,0.0005268414,0.0006470737,0.002348594,0.001163579],"domain_scores_gemma":[0.9617293,0.001338824,0.001163079,0.001044954,0.03299982,0.001723994],"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":[0.00002237431,0.000005981532,0.001065435,0.0002146804,0.00001987537,0.000006767254,0.00002091452,0.0001127621,0.00000941352,0.0003682226,0.9968452,0.001308275],"study_design_scores_gemma":[0.0001351241,0.0000109543,0.02304542,0.0008158322,0.00007358048,0.00002690029,0.0005379696,0.0005190909,0.0001871754,0.0006420041,0.9739246,0.00008127376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005544092,0.00004788116,0.00002197369,0.0001323897,0.00002386573,0.00001219257,0.9988204,0.00005447536,0.0008313701],"genre_scores_gemma":[0.0009090724,0.0002842835,0.0003476497,0.0001556174,0.00001789311,0.0001094402,0.9939401,0.0001185956,0.004117423],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0833343,"threshold_uncertainty_score":0.4272718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0265892624787284,"score_gpt":0.2287897015972143,"score_spread":0.2022004391184859,"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."}}