{"id":"W6920275404","doi":"10.6068/dp14baa39571c6","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Environment - Environmental Protection | Country: Canada | Province: Prince Edward Island | Table: Provincial profile of nature parks | Variable: Attendance (number x 1,000) | Units: , 2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-084.","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; Attendance; Official statistics; Summary statistics; Social statistics; Statistical analysis; Environmental data","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":[0.002664743,0.002141839,0.002612973,0.008419902,0.003613614,0.005533585,0.004808869,0.001625392,0.1338603],"category_scores_gemma":[0.02488077,0.001945492,0.002006909,0.05133081,0.0007689829,0.002579233,0.002380003,0.003305393,0.08461738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06780794,"about_ca_system_score_gemma":0.1777608,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9947544,"about_ca_topic_score_gemma":0.9922013,"domain_scores_codex":[0.9942285,0.0003352223,0.0006556677,0.0006127252,0.002904501,0.001263364],"domain_scores_gemma":[0.9423234,0.002392968,0.001370011,0.001536185,0.04992838,0.002449081],"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":[0.00001474354,0.000005233131,0.00056651,0.0001752134,0.00001030865,0.000004925903,0.00001685978,0.00007589957,0.000006647291,0.0002589056,0.9976432,0.001221539],"study_design_scores_gemma":[0.0001214841,0.000009204644,0.0198185,0.0006961934,0.0000443917,0.00001892717,0.0004190585,0.0002857578,0.000130971,0.0005640879,0.9778175,0.0000739541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004012289,0.00004061688,0.0000227096,0.000148139,0.00002986888,0.00001741554,0.9981338,0.00006554621,0.001501713],"genre_scores_gemma":[0.0009093125,0.0003220311,0.0005721679,0.0002595563,0.0000217009,0.0001887029,0.9895727,0.0001830051,0.007970833],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1338603,"threshold_uncertainty_score":0.4919833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156851210394874,"score_gpt":0.2209298000056331,"score_spread":0.2093612879016843,"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."}}