{"id":"W7097256820","doi":"","title":"Estimating the Tourism Volume and Value Page 1 of 24 Estimating the Tourism Volume and Value in Protected Areas in Canada and the USA","year":2016,"lang":"en","type":"article","venue":"","topic":"Recreation, Leisure, Wilderness Management","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recreation; Tourism; National park; Visitor pattern; Wildlife; Protected area; Economic impact analysis; Hectare; Value (mathematics)","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":[0.0004238629,0.0003900892,0.0002720119,0.003548012,0.0009586822,0.001510654,0.0007420523,0.0002580805,0.00245967],"category_scores_gemma":[0.003037188,0.0002130063,0.0005546705,0.006379265,0.0002731273,0.000528499,0.0005367729,0.0004731347,0.0004576906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0105075,"about_ca_system_score_gemma":0.009251368,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9845728,"about_ca_topic_score_gemma":0.9888819,"domain_scores_codex":[0.9996637,0.0000288415,0.00001806565,0.00005001806,0.0001604899,0.00007883419],"domain_scores_gemma":[0.9984611,0.0002580605,0.0001589804,0.0000458707,0.0009173387,0.0001585517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004962285,0.0000472477,0.9520463,0.00005227699,0.0001213211,0.00008227275,0.0002658062,0.01081276,0.000131543,0.0008830278,0.006915086,0.02859269],"study_design_scores_gemma":[0.000005840011,0.00002164094,0.9587086,0.00007374532,0.00004686054,0.00004894824,0.00137452,0.03182368,0.0001917974,0.0003356205,0.007345052,0.00002373246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.955561,0.0009967831,0.0028661,0.000268191,0.00001632961,0.0001145512,0.02536824,0.000106191,0.01470264],"genre_scores_gemma":[0.9714926,0.0009434387,0.004675951,0.00003897302,0.000006284926,0.00005587704,0.01868206,0.00002400136,0.004080688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01542717,"threshold_uncertainty_score":0.07623756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406129899061691,"score_gpt":0.2496605710290146,"score_spread":0.2355992720383977,"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."}}