{"id":"W4406351666","doi":"10.71164/socialmedicine.v13i2.2020.1827","title":"(Re)-construyendo una OMS para la gente","year":2020,"lang":"es","type":"article","venue":"Social medicine","topic":"Ethics and bioethics in healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Humanities; Political science; Art","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001744365,0.0004823646,0.001153068,0.0001102699,0.0005319879,0.0000389163,0.0003658062,0.001282778,0.001353401],"category_scores_gemma":[0.003728947,0.0003943743,0.0002418437,0.0007280603,0.002589714,0.00005655887,0.0001834622,0.003892738,0.0002724908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001329058,"about_ca_system_score_gemma":0.0008691743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005808591,"about_ca_topic_score_gemma":0.00004263449,"domain_scores_codex":[0.995518,0.0006143333,0.0009465163,0.0007325134,0.001397296,0.0007912949],"domain_scores_gemma":[0.9964634,0.001376031,0.0003683317,0.0003354508,0.0005200216,0.000936731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001470997,0.0003681263,0.05933669,0.01375757,0.001161804,0.002072811,0.1046201,6.192326e-7,0.007062233,0.6349621,0.08350475,0.09168213],"study_design_scores_gemma":[0.01614019,0.006342788,0.02972428,0.01128293,0.002187208,0.00007874604,0.083827,0.000430083,0.001428836,0.01799181,0.8289204,0.00164573],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03756173,0.0126596,0.0001156958,0.8715258,0.001997402,0.000896921,0.0001510932,0.0002233479,0.07486839],"genre_scores_gemma":[0.9277504,0.006836295,0.0001417374,0.04845791,0.01626494,0.00001876127,0.0001051491,0.00008031513,0.0003445021],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8901886,"threshold_uncertainty_score":0.9998508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2104118848193953,"score_gpt":0.4600584780467883,"score_spread":0.249646593227393,"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."}}