{"id":"W2051745902","doi":"10.1038/sj.bdj.2008.403","title":"Cross-border dental care: 'dental tourism' and patient mobility","year":2008,"lang":"en","type":"article","venue":"BDJ","topic":"Global Healthcare and Medical Tourism","field":"Health Professions","cited_by":96,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Dental care; Business; Tourism; The Internet; Health care; Medicine; Medical emergency; Family medicine; Economic growth; Geography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001321343,0.0001431148,0.000227946,0.00003131265,0.0009173148,0.000005018779,0.00008039592,0.0002595477,0.001116381],"category_scores_gemma":[0.0001233788,0.0001201217,0.00005859131,0.0001010575,0.0001979015,0.00008457756,0.0001784968,0.0005357075,0.0002634182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001967038,"about_ca_system_score_gemma":0.0002699904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002919295,"about_ca_topic_score_gemma":0.0005549213,"domain_scores_codex":[0.9981768,0.0001801351,0.0004148244,0.0003188575,0.0003503931,0.0005589498],"domain_scores_gemma":[0.9989696,0.00009835955,0.00008851801,0.0002540735,0.0001297618,0.0004596711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001120407,0.0002454307,0.8324724,0.000352588,0.00001853915,0.0003113212,0.01115248,6.767141e-7,0.00004468824,0.0001668818,0.1167262,0.03839674],"study_design_scores_gemma":[0.001103076,0.0002088699,0.5383537,0.00007704822,0.000007603684,0.00005018799,0.006336418,0.000004749385,0.00005847733,0.00008116508,0.4535538,0.0001648589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9581608,0.002117835,0.00000992062,0.0003366382,0.001365075,0.000650179,0.00004628337,0.00008699895,0.03722631],"genre_scores_gemma":[0.9895786,0.0002416876,0.0001710491,0.00299276,0.0004283479,0.00008332129,0.00002567341,0.00001590231,0.006462669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3368276,"threshold_uncertainty_score":0.9997967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03506462502670019,"score_gpt":0.4745414033364663,"score_spread":0.4394767783097661,"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."}}