{"id":"W2556455425","doi":"10.3402/gha.v9.32760","title":"Providers’ perspectives on inbound medical tourism in Central America and the Caribbean: factors driving and inhibiting sector development and their health equity implications","year":2016,"lang":"en","type":"article","venue":"Global Health Action","topic":"Global Healthcare and Medical Tourism","field":"Health Professions","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fraser Health; University of Ottawa; Simon Fraser University","funders":"","keywords":"Tourism; Medical tourism; Equity (law); Business; Caribbean region; Economic growth; Health equity; Development economics; Geography; Health care; Regional science; Political science; Latin Americans; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001349611,0.0002548974,0.0005020167,0.00008011137,0.001644705,0.00002427387,0.000109669,0.0002379513,0.0000225978],"category_scores_gemma":[0.0008342162,0.000140957,0.00003264846,0.0002591086,0.0003884109,0.0001487735,0.0002344969,0.0007226964,0.000003762274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002713118,"about_ca_system_score_gemma":0.003066952,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01196773,"about_ca_topic_score_gemma":0.01070004,"domain_scores_codex":[0.9959967,0.001076009,0.0008073121,0.0005591001,0.0003932086,0.001167722],"domain_scores_gemma":[0.9973415,0.0008352394,0.000416581,0.0001897801,0.00007456576,0.001142391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001883201,0.0001086346,0.05645743,0.0005550106,0.00002770065,0.00000315763,0.03626037,1.954398e-7,0.000007623571,0.0107386,0.005825331,0.8898276],"study_design_scores_gemma":[0.002903359,0.0003079704,0.9216467,0.001455896,0.00000451924,0.00002102353,0.05010342,0.00004032899,0.000004501686,0.004091787,0.01920605,0.0002144574],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8455057,0.001986714,0.001018085,0.1486338,0.0004828522,0.001594885,0.00005371781,0.00008828448,0.0006359114],"genre_scores_gemma":[0.9893938,0.003723024,0.0001653911,0.00617969,0.0003644953,0.0001167386,0.00001219275,0.00001336572,0.00003130339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8896132,"threshold_uncertainty_score":0.999655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0743428916717961,"score_gpt":0.4380574652917055,"score_spread":0.3637145736199094,"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."}}