{"id":"W2965700358","doi":"10.18280/isi.240206","title":"Spatial Data Mining and Big Data Analysis of Tourist Travel Behavior","year":2019,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Big data; Data science; Data mining; Travel behavior; Computer science; Geography; Transport engineering; Engineering; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001003323,0.0006490057,0.0005733767,0.00664713,0.0006571252,0.001410566,0.0007608072,0.0004112794,0.0006514215],"category_scores_gemma":[0.003103392,0.0002606281,0.001207593,0.007257282,0.0004124467,0.001313756,0.0008327097,0.0004562868,0.0002822436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007838383,"about_ca_system_score_gemma":0.001139439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02043862,"about_ca_topic_score_gemma":0.02556105,"domain_scores_codex":[0.9990149,0.000264566,0.0001631795,0.0001831643,0.0002775427,0.00009674198],"domain_scores_gemma":[0.9977517,0.0008091461,0.0003588551,0.000421124,0.0005295509,0.0001296974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004068199,0.000554473,0.5135822,0.001393264,0.001255242,0.001376725,0.001819592,0.08041761,0.006711993,0.01074832,0.01176744,0.3699664],"study_design_scores_gemma":[0.00002764122,0.0002045743,0.318458,0.0002164981,0.0003312649,0.0008201286,0.007537369,0.6241939,0.008719898,0.02023559,0.01913528,0.0001199089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6555265,0.002954613,0.3006966,0.002484514,0.0002487099,0.0003916126,0.02784009,0.002347796,0.007509568],"genre_scores_gemma":[0.8999404,0.0009373444,0.08547053,0.00009922405,0.00008275447,0.0001717718,0.012224,0.00004362464,0.001030414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02043862,"threshold_uncertainty_score":0.04063928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05170301978996044,"score_gpt":0.2606678335529969,"score_spread":0.2089648137630364,"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."}}