{"id":"W2323107292","doi":"10.1177/0309132515570513","title":"What about the workers? The missing geographies of health care","year":2015,"lang":"en","type":"article","venue":"Progress in Human Geography","topic":"Global Healthcare and Medical Tourism","field":"Health Professions","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Balsillie School of International Affairs","funders":"World Health Organization","keywords":"Theme (computing); Health care; Globalization; Value (mathematics); Sociology; Global health; Distribution (mathematics); Political science; Economic growth; 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":[0.003217537,0.0002302606,0.0004641747,0.0003105873,0.001476811,0.00005309796,0.0006794837,0.0002214106,0.00003388918],"category_scores_gemma":[0.00008731899,0.0001262593,0.0002033163,0.001198484,0.00115286,0.0002084618,0.0002302257,0.001165949,0.000008758037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007922506,"about_ca_system_score_gemma":0.0004369158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002560239,"about_ca_topic_score_gemma":0.001174532,"domain_scores_codex":[0.9951866,0.001713356,0.001040967,0.0003358942,0.0007200481,0.00100318],"domain_scores_gemma":[0.9977339,0.0002955549,0.0005673748,0.00073197,0.0003619231,0.0003092627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002915672,0.00006750449,0.812535,0.0004680846,0.00003221945,0.000004633742,0.03184145,0.000001026542,8.051409e-8,0.001264471,0.01571629,0.1380401],"study_design_scores_gemma":[0.001150477,0.000281802,0.645152,0.003232779,0.0000276045,0.000001847619,0.1637838,0.000004868255,0.000002376811,0.007676557,0.1784788,0.0002070301],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4564545,0.4886272,0.00001518081,0.04350574,0.003584113,0.002935722,0.00001452489,0.0001564967,0.004706487],"genre_scores_gemma":[0.9932705,0.002031223,0.0001972635,0.003556744,0.0004253408,0.0003901991,0.0000269368,0.00002781056,0.00007396199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.536816,"threshold_uncertainty_score":0.9998232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09220768762051108,"score_gpt":0.4582413896958073,"score_spread":0.3660337020752962,"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."}}