{"id":"W2113289207","doi":"10.5210/ojphi.v6i2.5484","title":"A Repository of Codes of Ethics and Technical Standards in Health Informatics","year":2014,"lang":"en","type":"review","venue":"Online Journal of Public Health Informatics","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Health informatics; Informatics; Public health informatics; Computer science; Ethical code; World Wide Web; Public health; Medicine; Political science; International health; Health policy; Public relations; Nursing; Law","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":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["metaresearch","research_integrity"],"category_scores_codex":[0.1385194,0.0004049817,0.006195361,0.001733805,0.0001236609,0.00005055253,0.0007492182,0.001696206,0.000008507117],"category_scores_gemma":[0.1065096,0.0002899264,0.00053467,0.001059287,0.0008692455,0.0003471905,0.0003892364,0.01543469,6.901299e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001383095,"about_ca_system_score_gemma":0.07885918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005739259,"about_ca_topic_score_gemma":0.0001295656,"domain_scores_codex":[0.9572236,0.002628128,0.03192841,0.0001770236,0.006881344,0.001161509],"domain_scores_gemma":[0.9523854,0.0183835,0.02101612,0.0009677809,0.00570361,0.001543542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003716924,0.0004671665,0.0001415464,0.4975588,0.0001563628,0.000005407861,0.003344619,0.000004051016,3.886133e-8,0.002537934,0.0009561813,0.4947907],"study_design_scores_gemma":[0.001308695,0.003877949,0.00007143613,0.1242807,0.00009641672,0.001228749,0.001449005,0.0002951384,2.321976e-7,0.000310621,0.8669166,0.0001644491],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001588956,0.9798012,0.006704252,0.01047579,0.000309174,0.001330585,0.0004429681,0.00001763058,0.000759521],"genre_scores_gemma":[0.00009104291,0.9238766,0.0743741,0.001316355,0.0001870009,0.000004313843,0.00006498516,0.00003863638,0.00004691503],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8659604,"threshold_uncertainty_score":0.9999553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5793317094954702,"score_gpt":0.6552630270946278,"score_spread":0.07593131759915761,"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."}}