{"id":"W7097590469","doi":"","title":"RESEARCH Open Access Beyond “medical tourism”: Canadian companies of companies taking distinct approaches to marketing medical travel.","year":2015,"lang":"en","type":"article","venue":"","topic":"Global Healthcare and Medical Tourism","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical tourism; Tourism; Health care; Public health; Business tourism; Medical care; Health tourism; Market research","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002038314,0.0002294457,0.0001864678,0.004706978,0.005981141,0.005992767,0.0006560796,0.0008364947,0.01885963],"category_scores_gemma":[0.008445707,0.0001915799,0.0002480141,0.01056265,0.001689439,0.001728048,0.002067087,0.000624334,0.001024344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0230898,"about_ca_system_score_gemma":0.07338797,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.938785,"about_ca_topic_score_gemma":0.9639198,"domain_scores_codex":[0.9979913,0.0002330872,0.00008868786,0.0001409409,0.0008295463,0.0007164099],"domain_scores_gemma":[0.992366,0.001395398,0.001304987,0.0002530192,0.002767547,0.00191315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005656895,0.0003557985,0.4100485,0.002196721,0.00007051963,0.002187751,0.1361768,0.0002013676,0.001737694,0.03712514,0.1314456,0.2778883],"study_design_scores_gemma":[0.00002424247,0.00005907621,0.5059851,0.0009545389,0.00005694523,0.000655219,0.1951991,0.0004144369,0.0004967689,0.0008802342,0.2952204,0.00005385474],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6265572,0.007937794,0.0006640119,0.0133054,0.0002615813,0.0006823958,0.01297083,0.00009591814,0.3375249],"genre_scores_gemma":[0.9540675,0.00360539,0.00117586,0.001553088,0.00005396411,0.0001405948,0.003155979,0.0000285668,0.03621902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06121504,"threshold_uncertainty_score":0.167529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6430302462234818,"score_gpt":0.5690892423337524,"score_spread":0.07394100388972946,"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."}}