{"id":"W2962970588","doi":"10.21003/ea.v175-06","title":"Tourists from Canada as priority customers of the Ukrainian tourism product","year":2019,"lang":"en","type":"article","venue":"Economic Annals-ХХI","topic":"Diverse Scientific Research in Ukraine","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ukrainian; Tourism; Business; Product (mathematics); Marketing; Advertising; Geography; 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":[0.0002171718,0.0002080556,0.0001616029,0.0008190449,0.004538744,0.00275941,0.000395053,0.0004505564,0.006939217],"category_scores_gemma":[0.0006101351,0.0001096103,0.0001500489,0.002238707,0.0005473976,0.0004601381,0.0009636883,0.0006562396,0.0005140988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0091391,"about_ca_system_score_gemma":0.02546542,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9569691,"about_ca_topic_score_gemma":0.9908716,"domain_scores_codex":[0.9995939,0.00003267042,0.000006555655,0.00002146436,0.000102395,0.0002430963],"domain_scores_gemma":[0.999383,0.00003481268,0.0000444582,0.000006637289,0.0002481123,0.0002829588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001036645,0.0001783552,0.7057528,0.0004739834,0.00006948541,0.006231984,0.1215627,0.0003719692,0.006124748,0.007188178,0.0413934,0.1096157],"study_design_scores_gemma":[0.000009102801,0.00007180305,0.5966813,0.0001395039,0.00003783639,0.0007386956,0.3361871,0.0003616448,0.0009500179,0.000154256,0.06462748,0.00004124156],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816933,0.0005880039,0.00005284057,0.0007216398,0.00002719447,0.0000331682,0.0005545046,0.000009597642,0.01631977],"genre_scores_gemma":[0.9770354,0.0009705049,0.0001539291,0.0002192043,0.000008503809,0.0000105864,0.000472716,0.0000113887,0.02111786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04303086,"threshold_uncertainty_score":0.08656847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181400691468248,"score_gpt":0.236149009342771,"score_spread":0.2243350024280885,"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."}}