{"id":"W2108774955","doi":"","title":"Urban geotourism: the case of Montreal.","year":2009,"lang":"en","type":"article","venue":"Ereview of tourism research","topic":"Geotourism and Geoheritage Conservation","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geotourism; Geography; Calais; Archaeology; Environmental planning; Tourism; Computer science; World Wide Web","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":[0.0002952965,0.00028858,0.0001537678,0.0009483231,0.008967071,0.003311787,0.001383478,0.001266531,0.0146297],"category_scores_gemma":[0.001389421,0.0002423384,0.0002642842,0.003034651,0.003560497,0.001109134,0.001739808,0.001261812,0.0004004795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04226628,"about_ca_system_score_gemma":0.02432581,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9855784,"about_ca_topic_score_gemma":0.9964045,"domain_scores_codex":[0.999486,0.00007284768,0.000004183156,0.00003156283,0.00005949999,0.0003459704],"domain_scores_gemma":[0.9995247,0.00005904088,0.00005503299,0.00001854317,0.00009042896,0.0002522894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003798977,0.0002741676,0.1371299,0.0006718959,0.0002129585,0.02310865,0.07401884,0.008114,0.001980021,0.4197426,0.1939922,0.1403751],"study_design_scores_gemma":[0.00006636154,0.0001058958,0.3185463,0.0004408016,0.0001259537,0.00161659,0.1180112,0.002505105,0.000552769,0.007193234,0.5506788,0.0001569663],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6029763,0.01116213,0.00100026,0.03248406,0.000222979,0.0001632068,0.001681978,0.00008244772,0.3502268],"genre_scores_gemma":[0.9650347,0.001930824,0.0002139025,0.0006919249,0.00003430628,0.00002509954,0.000144139,0.00001528617,0.03190992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04226628,"threshold_uncertainty_score":0.3066648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05424164301192552,"score_gpt":0.3212445365328039,"score_spread":0.2670028935208784,"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."}}