{"id":"W2187415894","doi":"","title":"TRAVEL DISTANCE CLASSES: TOURISM ATTRACTION USERSHEDS OF PARKS","year":2013,"lang":"en","type":"article","venue":"","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Destinations; Attraction; Tourism; Geography; Tourist attraction; Class (philosophy); Advertising; Scale (ratio); Cartography; Computer science; Business; Archaeology","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":[0.0005234737,0.0003032346,0.0001909023,0.003587144,0.0007396596,0.001231402,0.0005127713,0.0002436581,0.008660751],"category_scores_gemma":[0.002759435,0.0001114788,0.0003724312,0.003246243,0.0005412875,0.000637495,0.00091202,0.000331716,0.001103206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001531161,"about_ca_system_score_gemma":0.00119129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1177279,"about_ca_topic_score_gemma":0.2246965,"domain_scores_codex":[0.9993082,0.00008829575,0.00007169712,0.00004937723,0.0003579592,0.0001244316],"domain_scores_gemma":[0.9978371,0.0004114256,0.0006128722,0.0001476733,0.000687227,0.0003038111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004293344,0.0001146808,0.9179742,0.0002289491,0.00008832044,0.0001297772,0.004750167,0.0005911185,0.002111551,0.002781704,0.007144701,0.06365544],"study_design_scores_gemma":[0.00001268019,0.00007539711,0.9744299,0.00002839167,0.00001723675,0.0001196238,0.006187553,0.0008878475,0.0002985089,0.000424323,0.01750038,0.00001815283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.93779,0.0002916692,0.003705568,0.0001556439,0.00005194588,0.0003924755,0.01558143,0.0001965098,0.04183474],"genre_scores_gemma":[0.9803965,0.0001235683,0.005476616,0.00002109039,0.00002281611,0.0002185253,0.007091082,0.00002697049,0.006622859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1177279,"threshold_uncertainty_score":0.2340853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03156084482075517,"score_gpt":0.3279220930323835,"score_spread":0.2963612482116283,"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."}}