{"id":"W2139864715","doi":"10.5539/ass.v11n6p279","title":"Cluster Model of Regional Tourist Business in Russia","year":2015,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Business; Cluster (spacecraft); Economic geography; Politics; Service (business); Regional science; Marketing; Economy; Industrial organization; Geography; Political science; Economics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005941906,0.00007536509,0.0001080487,0.0002323099,0.0001470611,0.0001135233,0.0002780312,0.00005185015,0.00001175742],"category_scores_gemma":[0.00008793017,0.00007009546,0.00001674193,0.002828991,0.0003866391,0.002035213,0.00009038175,0.0000690255,0.00002161124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004771204,"about_ca_system_score_gemma":0.0002078912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003573553,"about_ca_topic_score_gemma":0.00006469844,"domain_scores_codex":[0.9990388,0.00000349473,0.0001941607,0.0001764227,0.0003840778,0.0002030833],"domain_scores_gemma":[0.9992518,0.000003109777,0.000149691,0.00008198786,0.0005045254,0.000008821688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007498487,0.0001396355,0.009792067,0.0000655793,0.000002429674,0.000002611255,0.0006222448,0.0004805423,0.001812122,0.9534144,0.008302881,0.02529045],"study_design_scores_gemma":[0.001479759,0.0000072076,0.8272286,0.00007325195,0.00001348092,0.000001558819,0.001702799,0.03464613,0.000106582,0.1267022,0.00756389,0.0004745167],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2228021,0.000009213816,0.003027284,0.01205797,0.0003480614,0.0001559115,0.00000111165,0.00004495166,0.7615534],"genre_scores_gemma":[0.9982644,3.864585e-7,0.0003102171,0.0008924669,0.0004209034,0.00000418507,0.000005000598,0.000005451411,0.00009695559],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8267122,"threshold_uncertainty_score":0.285841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05219042936510462,"score_gpt":0.2656657033261212,"score_spread":0.2134752739610166,"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."}}