{"id":"W2201485168","doi":"","title":"The role of cultural and substructure components on decreasing sport tourism in Iran.","year":2014,"lang":"en","type":"article","venue":"Advances in Applied Science Research","topic":"Sport and Mega-Event Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Cronbach's alpha; Statistical population; Descriptive statistics; Population; Sample (material); Marketing; Sports tourism; Descriptive research; Business; Competition (biology); Test (biology); Geography; Advertising; Tourism geography; Sociology; Statistics; Social science; Medicine; Environmental health; Mathematics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.006486213,0.00007513197,0.0001403266,0.0002323699,0.0007771464,0.00009533855,0.000619152,0.00004908281,0.000005563214],"category_scores_gemma":[0.0004282982,0.00005047092,0.00001416419,0.00140705,0.002714525,0.0003425023,0.00009173366,0.0003196933,0.000003095913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001339315,"about_ca_system_score_gemma":0.0001343449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009858338,"about_ca_topic_score_gemma":0.002655544,"domain_scores_codex":[0.9974217,0.00007612739,0.0001870055,0.0002804126,0.001336351,0.0006984073],"domain_scores_gemma":[0.9991891,0.0003377658,0.00006006143,0.0001853477,0.00006519556,0.0001625497],"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":[0.000166542,0.00006263959,0.1097293,0.000009610689,0.000001157289,0.000004387937,0.008046906,0.0001039765,0.01872258,0.6160324,0.000008576791,0.2471119],"study_design_scores_gemma":[0.001171932,0.0001373603,0.4452088,0.0002158687,0.000002352145,0.000002878878,0.04143693,0.0007406837,0.02011206,0.1860689,0.30453,0.0003723524],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9185821,0.0006031205,0.00000194577,0.0001542548,0.00007678646,0.0002666172,3.317849e-7,0.000007091644,0.08030774],"genre_scores_gemma":[0.9986565,0.001008094,0.0002044159,0.00001503847,0.00005656226,0.00001232357,6.32148e-7,0.000003721756,0.00004273962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4299636,"threshold_uncertainty_score":0.9999995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0578233659128496,"score_gpt":0.4267513410959729,"score_spread":0.3689279751831233,"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."}}