{"id":"W6939500287","doi":"10.6068/dp14ba8971cb330","title":"Trend 1994 - 2003. Statistics Canada. CANSIM: Culture and Leisure - Museums, Historic Sites, Archives and Other Heritage Institutions | Country: Canada | Table: Summary profile of heritage institutions and nature parks | Variable: Membership earned revenues, Nature parks | Units: , 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; Cultural heritage; Economic statistics; Population; Tourism; Publication; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00250292,0.002561054,0.002785887,0.01055974,0.003504762,0.005664528,0.005866334,0.001540386,0.09631563],"category_scores_gemma":[0.02138637,0.001876695,0.002017238,0.05006577,0.0007873698,0.002980771,0.002447818,0.003386183,0.0584886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06314078,"about_ca_system_score_gemma":0.1729353,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955949,"about_ca_topic_score_gemma":0.9938213,"domain_scores_codex":[0.9943565,0.0003282961,0.0006090589,0.0007244493,0.002733365,0.001248382],"domain_scores_gemma":[0.9515684,0.00174552,0.001452308,0.001340209,0.04174807,0.002145434],"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":[0.00002057014,0.000006069711,0.001049038,0.0002072037,0.00001811272,0.000006197233,0.00002191968,0.0001062724,0.00000868025,0.0003728858,0.9967502,0.00143275],"study_design_scores_gemma":[0.0001217454,0.00001022202,0.02329206,0.0008278738,0.00006218434,0.00002319187,0.0005289735,0.000496959,0.0001588028,0.0006874667,0.9737084,0.00008201673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005415783,0.0000464616,0.00002560014,0.000140054,0.00002758877,0.00001470038,0.998669,0.00006204933,0.0009603816],"genre_scores_gemma":[0.0009051103,0.0002816474,0.0004199008,0.0001733649,0.00001850544,0.0001356912,0.9930091,0.0001380187,0.004918715],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09631563,"threshold_uncertainty_score":0.4581206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02662956476572871,"score_gpt":0.2551356225715447,"score_spread":0.228506057805816,"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."}}