{"id":"W604492175","doi":"10.11575/prism/24474","title":"Visitor use analysis in Yoho, Kootenay and Banff National Parks of Canada","year":2004,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Visitor pattern; National park; Geography; Archaeology; Computer science","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":[0.0005902154,0.0002665887,0.0006274855,0.004016676,0.003700805,0.002296229,0.00120387,0.0003545342,0.008724798],"category_scores_gemma":[0.002655063,0.0002684857,0.0006963846,0.01128743,0.0005624005,0.0009233526,0.001148065,0.0007280889,0.0004969827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02565253,"about_ca_system_score_gemma":0.03160388,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.996879,"about_ca_topic_score_gemma":0.9992582,"domain_scores_codex":[0.9991741,0.00007512332,0.00003001982,0.00008731338,0.000275637,0.0003578742],"domain_scores_gemma":[0.9973265,0.0001994014,0.0001162874,0.00008564601,0.001860311,0.000411899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003217122,0.0001084175,0.8697534,0.0002552167,0.00030334,0.0005442873,0.006951181,0.00419093,0.0004347563,0.01797542,0.04772714,0.05143416],"study_design_scores_gemma":[0.000008042262,0.00001197331,0.9463266,0.0000945217,0.0001094417,0.00006783761,0.01533518,0.003265737,0.0002386561,0.0007133001,0.03379226,0.00003641802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9113203,0.005149666,0.001385896,0.001690667,0.00006857776,0.0001372988,0.03086397,0.00008472981,0.0492989],"genre_scores_gemma":[0.9321206,0.001849327,0.001550159,0.0001326411,0.000009829546,0.00005861489,0.01393378,0.00008365216,0.05026139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02565253,"threshold_uncertainty_score":0.186123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02272408219059781,"score_gpt":0.1575528373335189,"score_spread":0.134828755142921,"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."}}