{"id":"W4285319040","doi":"10.31520/ei.2021.23.4(81).36-43","title":"PRELIMINARY APPLICATION OF TOURISM 4.0 DATA ANALYTICS IN ODESSA CITY REVEALS CHALLENGES AND OPPORTUNITIES FOR SUSTAINABLE TOURISM DEVELOPMENT","year":2021,"lang":"en","type":"article","venue":"Economic innovations","topic":"Diverse Scientific Research in Ukraine","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Visitor pattern; Sustainability; Tourism geography; Sustainable tourism; Analytics; Business; Geography; Regional science; Marketing; Economy; Economic growth; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001431459,0.00007059265,0.0001284334,0.0001154939,0.0001036187,0.00003206108,0.0002883641,0.00004161329,0.0002148889],"category_scores_gemma":[0.0001538025,0.00008135688,0.0000098406,0.0001530017,0.0001499468,0.0004565529,0.0007133623,0.0000598487,0.000009347761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002196978,"about_ca_system_score_gemma":0.0001425548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005785538,"about_ca_topic_score_gemma":0.0001105089,"domain_scores_codex":[0.9989752,0.00002622087,0.0003449571,0.0003465469,0.00009919683,0.0002079031],"domain_scores_gemma":[0.9992013,0.00009598216,0.0001184696,0.0004858428,0.00005808922,0.00004032267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001232442,0.001187186,0.02376982,0.0009391122,0.0002290634,0.0001959925,0.007646998,0.00546275,0.005099611,0.3562749,0.1901372,0.4089341],"study_design_scores_gemma":[0.001718652,0.000130854,0.2637314,0.0000761822,0.00003559497,0.00002330611,0.02319858,0.05587395,0.005713855,0.05006155,0.5986638,0.0007723382],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9492856,0.0002078007,0.003938687,0.005317328,0.00008164129,0.0007346892,0.0001345843,0.00001817707,0.04028155],"genre_scores_gemma":[0.975494,0.0002696707,0.01155164,0.00006570087,0.00002871225,0.0001038066,0.0003679895,0.000009344096,0.01210918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4085266,"threshold_uncertainty_score":0.3317637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1574098391472172,"score_gpt":0.3111942623744135,"score_spread":0.1537844232271963,"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."}}