{"id":"W2773295168","doi":"10.1097/00115514-201401000-00010","title":"PRACTITIONER APPLICATION: Can Inbound and Domestic Medical Tourism Improve Your Bottom Line? Identifying the Potential of a U.S. Tourism Market","year":2014,"lang":"en","type":"article","venue":"Journal of Healthcare Management","topic":"Global Healthcare and Medical Tourism","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Revenue; Business; Health care; Privilege (computing); Medical tourism; Tourism; Reimbursement; Population; Marketing; Suspect; Competitor analysis; Public relations; Economic growth; Medicine; Finance; Political science; Economics; Law","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":[0.005997906,0.0002406222,0.0006184506,0.0002470809,0.0007387301,0.00002662653,0.0005046912,0.000364733,0.0002133816],"category_scores_gemma":[0.0006583863,0.0001628841,0.0001566591,0.000310515,0.0001777966,0.0001496719,0.0003388762,0.001946,0.0000133392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000258625,"about_ca_system_score_gemma":0.000672239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002099853,"about_ca_topic_score_gemma":0.0003544895,"domain_scores_codex":[0.99417,0.001295946,0.001890809,0.0003186097,0.001649744,0.0006749705],"domain_scores_gemma":[0.9958302,0.000547637,0.001701641,0.0004919948,0.0006275502,0.0008009272],"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":[0.0007990692,0.0006243625,0.003552241,0.01141241,0.000691533,0.0009367739,0.003006042,0.00002137776,0.00009183321,0.02646595,0.4215023,0.5308961],"study_design_scores_gemma":[0.008273744,0.001903505,0.1324562,0.004817904,0.0007571609,0.0005996402,0.01712713,0.003326143,0.00001504639,0.07370894,0.756317,0.0006976168],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1237475,0.008739972,0.06102623,0.7769439,0.01318879,0.004800282,0.00006460444,0.0001069022,0.01138184],"genre_scores_gemma":[0.9720436,0.005233276,0.002295787,0.01364725,0.004649153,0.0001027927,0.000009191489,0.00003825727,0.001980692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8482961,"threshold_uncertainty_score":0.8454509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02616249392224611,"score_gpt":0.3976232773983804,"score_spread":0.3714607834761343,"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."}}