{"id":"W2013648121","doi":"10.1093/phe/phv009","title":"Comment on Jennings, ‘Right Relation and Right Recognition in Public Health Ethics: Thinking through the Republic of Health’","year":2015,"lang":"en","type":"article","venue":"Public Health Ethics","topic":"Ethics in medical practice","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Relation (database); Right to health; Public health; Reading (process); The Republic; Political science; Law; Sociology; Public relations; Epistemology; Medicine; Computer science; Nursing; Human rights; Philosophy; Data mining","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01107818,0.0007964794,0.001604718,0.001132288,0.008126857,0.004652427,0.00480283,0.03686742,0.005728307],"category_scores_gemma":[0.051704,0.001101018,0.0011044,0.002555626,0.01528381,0.0105771,0.003509302,0.04098323,0.002337991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008663015,"about_ca_system_score_gemma":0.008412592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0869887,"about_ca_topic_score_gemma":0.1240539,"domain_scores_codex":[0.9906051,0.002281024,0.0009282405,0.001954903,0.003357909,0.0008730306],"domain_scores_gemma":[0.9568991,0.03221402,0.003054518,0.0007805807,0.005095976,0.001955861],"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":[0.00002500863,0.000004933334,0.0001996434,0.00006517993,0.000006186949,0.0002317333,0.002702962,0.00004916587,0.00007383552,0.01198406,0.9833201,0.001337212],"study_design_scores_gemma":[0.00007310708,0.00005561046,0.004030312,0.0008801156,0.00003906223,0.0007552322,0.01287226,0.0003220026,0.0006198138,0.03278042,0.9474267,0.0001453764],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005839567,0.001015389,0.0001716343,0.9903063,0.005241757,0.000008666602,0.00007298814,0.00002718077,0.002572245],"genre_scores_gemma":[0.008134089,0.0005358924,0.0002916802,0.9798561,0.006582713,0.00004471746,0.00002025761,0.00003812491,0.004496402],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0869887,"threshold_uncertainty_score":0.1729647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5684313600986782,"score_gpt":0.548416889562103,"score_spread":0.02001447053657524,"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."}}