{"id":"W6976461880","doi":"10.6068/dp14ba81eee1f78","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: Total earned revenues, Nature parks | 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recreation; Entertainment; Amusement; Census; Socioeconomic status; Tourism; Descriptive statistics; 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":[0.002258565,0.002565459,0.00278263,0.009818946,0.00354409,0.005463248,0.005666772,0.001525193,0.09158061],"category_scores_gemma":[0.01871212,0.001804214,0.001993501,0.04704872,0.0007260339,0.002826342,0.00232524,0.003201646,0.05503033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0616108,"about_ca_system_score_gemma":0.1712127,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960622,"about_ca_topic_score_gemma":0.9942352,"domain_scores_codex":[0.9947969,0.0003093478,0.0005300027,0.0006479596,0.002474154,0.001241722],"domain_scores_gemma":[0.9590002,0.001379936,0.001213825,0.001063952,0.03540897,0.001933032],"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":[0.00002190942,0.000006287844,0.001015793,0.0001966363,0.00001848897,0.000006620975,0.00002090297,0.0001119211,0.000009128696,0.0003857366,0.9967896,0.001416773],"study_design_scores_gemma":[0.0001334213,0.00001187304,0.0236928,0.0007915205,0.00006786002,0.00002660622,0.0005465517,0.0005556043,0.0001825908,0.0006690139,0.9732385,0.00008355982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006092252,0.00004947641,0.00002673194,0.0001511363,0.00002807635,0.00001534798,0.9985318,0.00006512482,0.001071318],"genre_scores_gemma":[0.001015192,0.0003100384,0.0004262195,0.0001896613,0.00001997424,0.0001299046,0.9923174,0.0001485117,0.005443004],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09158061,"threshold_uncertainty_score":0.4470198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511566454471362,"score_gpt":0.2374224850665433,"score_spread":0.2223068205218297,"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."}}