{"id":"W2610564589","doi":"10.1201/9781315365671-17","title":"Case Study: Medical Tourism—Recovery, Rainforests, and Restructuring: Opportunities for Hotels Bridging Healthcare (H2H)","year":2017,"lang":"en","type":"book-chapter","venue":"Apple Academic Press eBooks","topic":"Global Healthcare and Medical Tourism","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Restructuring; Bridging (networking); Tourism; Business; Health care; Rainforest; Medical tourism; Geography; Computer science; Economic growth; Economics; Finance; Ecology; Computer security; Biology","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":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.002718286,0.0009059433,0.00163356,0.0002431603,0.002498824,0.00004458965,0.001053835,0.004140746,0.00008927551],"category_scores_gemma":[0.0008386442,0.0008418701,0.0002483381,0.000005962844,0.0005920922,0.0001571566,0.001320257,0.007089213,0.000009040616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002685991,"about_ca_system_score_gemma":0.002630674,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01095433,"about_ca_topic_score_gemma":0.001546517,"domain_scores_codex":[0.9934218,0.0003453784,0.002026183,0.001204611,0.001361768,0.001640241],"domain_scores_gemma":[0.9933738,0.001352986,0.001516223,0.001297258,0.0003323311,0.002127365],"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":[0.0003443281,0.00002042693,0.00007901523,0.00558869,0.000490393,0.01740737,0.00787601,2.563798e-7,7.774171e-7,0.0623298,0.37715,0.5287129],"study_design_scores_gemma":[0.002317156,0.0004541985,0.0000224624,0.003206237,0.000308156,0.00176088,0.002834175,0.00003476314,0.000002581826,0.01903315,0.9692459,0.0007803803],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01318301,0.01687871,0.0003918731,0.01111965,0.007894455,0.0241265,0.003501246,0.001050283,0.9218543],"genre_scores_gemma":[0.0334921,0.007660193,0.0001468648,0.009641714,0.009258514,0.00178721,0.00029337,0.00035875,0.9373613],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5920959,"threshold_uncertainty_score":0.9994032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2818083081590723,"score_gpt":0.4468762776644554,"score_spread":0.1650679695053831,"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."}}