{"id":"W6920484395","doi":"10.6068/dp14baa3e880b17","title":"Trend 1994 - 2003. Statistics Canada. CANSIM: Culture and Leisure - Museums, Historic Sites, Archives and Other Heritage Institutions | Country: Canada | Province: Newfoundland and Labrador | Table: Provincial profile of heritage institutions | Variable: Admission earned revenues | Units: $CAD x 1,000, 1994-2003. 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; Official statistics; Economic statistics; Cultural heritage; Population; Revenue; Population statistics; Public use; Summary 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":[0.002372491,0.002621527,0.002698472,0.01036486,0.003422789,0.005740272,0.005764492,0.00159316,0.09416863],"category_scores_gemma":[0.02141,0.001834827,0.001975986,0.0493416,0.000764087,0.002872696,0.002329855,0.003230716,0.05703061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05717403,"about_ca_system_score_gemma":0.1534595,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949215,"about_ca_topic_score_gemma":0.9933878,"domain_scores_codex":[0.9948089,0.0002825133,0.0005844964,0.0006987682,0.002405285,0.00122002],"domain_scores_gemma":[0.956458,0.001643262,0.001415177,0.001252732,0.03726263,0.001968194],"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":[0.00002001772,0.000005825204,0.000993542,0.0001938222,0.00001606358,0.000006134812,0.00001971743,0.00009957465,0.000007765276,0.0003201085,0.9969991,0.001318232],"study_design_scores_gemma":[0.000130513,0.000009800975,0.02266248,0.0007887933,0.00005778114,0.00002203891,0.0004931696,0.0004469462,0.0001599878,0.0005937267,0.9745582,0.00007654976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004748638,0.00003982431,0.00002062546,0.0001158491,0.00002489517,0.00001299128,0.9988134,0.00005293948,0.0008720914],"genre_scores_gemma":[0.000799273,0.0002474402,0.000351967,0.0001424607,0.00001726513,0.0001255631,0.9939178,0.0001129907,0.004285126],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09416863,"threshold_uncertainty_score":0.4148286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02816035964667561,"score_gpt":0.2539757665927811,"score_spread":0.2258154069461055,"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."}}