{"id":"W4232733344","doi":"10.1111/dewb.12205","title":"Issue Information","year":2019,"lang":"en","type":"paratext","venue":"Developing World Bioethics","topic":"Ethics in medical practice","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Computer science; Internet privacy; World Wide Web; Library science; Information retrieval","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.01051531,0.0005317805,0.0008004952,0.0007331326,0.00185634,0.00008049354,0.000965822,0.00374123,0.01772681],"category_scores_gemma":[0.01540423,0.0004940266,0.0001152522,0.001095493,0.0005970322,0.0006561173,0.000781428,0.03315288,0.5996704],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009190664,"about_ca_system_score_gemma":0.008123918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007929151,"about_ca_topic_score_gemma":0.0008186772,"domain_scores_codex":[0.9918111,0.003489899,0.001736314,0.0004861189,0.001480927,0.0009956539],"domain_scores_gemma":[0.9790886,0.01656701,0.001616361,0.0009711536,0.001554037,0.0002028654],"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":[0.00002491023,0.000006959554,0.00006961499,0.004479588,0.00006225933,0.000001311737,0.003417914,0.000007176032,7.648039e-7,0.07228647,0.918424,0.001219041],"study_design_scores_gemma":[0.000394282,0.00001764346,0.00007055998,0.004516205,0.00003675884,0.000001044984,0.002045007,0.00002772298,0.0000157931,0.002844551,0.9893966,0.0006338107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000004988774,0.0005283652,0.00994208,0.1085725,0.07345626,0.001336185,0.0001257303,0.0001722103,0.8058617],"genre_scores_gemma":[0.0002348114,0.003823876,0.01491541,0.123087,0.003741321,0.0001558442,0.002183859,0.000103831,0.8517541],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5819436,"threshold_uncertainty_score":0.9997512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1748624739085946,"score_gpt":0.5214660020025389,"score_spread":0.3466035280939443,"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."}}