{"id":"W7024359212","doi":"","title":"Research for TRAN committee – health tourism in the EU : a general investigation","year":2017,"lang":"en","type":"report","venue":"Data Archiving and Networked Services (DANS)","topic":"","field":"","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Registered Nurses' Association of Ontario","keywords":"Health tourism; Tourism; Government (linguistics); Work (physics); European union; Public health","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","open_science","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0310939,0.0006892883,0.001095634,0.0006246416,0.002419885,0.0009818025,0.006826855,0.0003441735,0.000004161324],"category_scores_gemma":[0.0002060852,0.0005263342,0.0001231096,0.0005356662,0.000603735,0.0006247587,0.001685262,0.002468233,0.00002445195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002782086,"about_ca_system_score_gemma":0.002074441,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05186928,"about_ca_topic_score_gemma":0.1487769,"domain_scores_codex":[0.9899539,0.003465218,0.001135453,0.001730381,0.002014689,0.001700361],"domain_scores_gemma":[0.9911148,0.002008963,0.001045501,0.005206095,0.0002412083,0.0003834455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003990107,0.0002478683,0.01386368,0.008146391,0.0003787282,0.0001300892,0.02945612,0.000506619,0.0001221095,0.0002405637,0.8787746,0.06773417],"study_design_scores_gemma":[0.001122123,0.0002470863,0.10283,0.004980244,0.0001338473,0.0001330332,0.001819858,0.1062584,0.000002328965,0.002740551,0.7789395,0.0007930465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7762246,0.03641688,0.0009322444,0.02984984,0.004318436,0.02118283,0.07451242,0.0009655025,0.05559722],"genre_scores_gemma":[0.6384008,0.02843902,0.009607235,0.003241179,0.02155487,0.00207097,0.2902909,0.001448808,0.00494623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2157784,"threshold_uncertainty_score":0.9998331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2558335413256151,"score_gpt":0.4428311000126521,"score_spread":0.186997558687037,"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."}}