{"id":"W4287119559","doi":"","title":"Hiking and digital innovation. Analysis management strategies of tourist destinations","year":2021,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Tourism; Tourist destinations; Destinations; Computer science; Business; Destination management; Knowledge management; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008256551,0.0003362271,0.0002668264,0.004349248,0.0007052321,0.003577512,0.0004589704,0.0005541497,0.008875851],"category_scores_gemma":[0.003060488,0.00009184059,0.0005531347,0.005168273,0.0007446691,0.001561228,0.0009885823,0.0003280018,0.0005529533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002455709,"about_ca_system_score_gemma":0.001453605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01648711,"about_ca_topic_score_gemma":0.02495603,"domain_scores_codex":[0.9996145,0.0001172118,0.00002250702,0.00005550114,0.00008754242,0.0001027225],"domain_scores_gemma":[0.9975073,0.001249333,0.0004445098,0.00009790712,0.0004189553,0.0002820477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005590011,0.0002437014,0.700162,0.001403082,0.0005377371,0.0008442484,0.01729984,0.01336046,0.003293141,0.02691,0.002905339,0.2324814],"study_design_scores_gemma":[0.00001403886,0.0003461926,0.8605714,0.0002832959,0.0003830468,0.0002917323,0.07966919,0.02510224,0.001859163,0.01142657,0.02000528,0.00004782105],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9664994,0.001863358,0.003354078,0.000437278,0.00001973755,0.0001176888,0.0009420054,0.00003649967,0.02673005],"genre_scores_gemma":[0.9925287,0.0006156955,0.001001936,0.00002468321,0.00001052085,0.00002959329,0.0002999141,0.00000754191,0.005481519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01648711,"threshold_uncertainty_score":0.03278232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204898488227808,"score_gpt":0.2900188278327926,"score_spread":0.2679698429505145,"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."}}