{"id":"W4393990600","doi":"10.7189/jogh.14.03024","title":"Navigating data standards in public health: A brief report from a data-standards meeting","year":2024,"lang":"en","type":"article","venue":"Journal of Global Health","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Interoperability; SNOMED CT; Health data; Data science; Foundation (evidence); Public health; Computer science; Medicine; World Wide Web; Terminology; Health care; Political science; Nursing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1097257,0.001739033,0.001260003,0.003603781,0.009046248,0.01690331,0.003554299,0.03219125,0.003016665],"category_scores_gemma":[0.1169098,0.001646045,0.003088749,0.005235478,0.006102089,0.02112175,0.009533313,0.04815705,0.002166512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01452641,"about_ca_system_score_gemma":0.06942322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04267216,"about_ca_topic_score_gemma":0.05075773,"domain_scores_codex":[0.9429335,0.02403604,0.00560778,0.002921447,0.01973941,0.004761954],"domain_scores_gemma":[0.8734926,0.07218987,0.005568058,0.003303083,0.02768507,0.01776132],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008536057,0.0002369818,0.001192375,0.001009386,0.00006755939,0.0006936123,0.003772997,0.0004042833,0.0009035598,0.01992866,0.8950731,0.07663224],"study_design_scores_gemma":[0.0000330761,0.0001260016,0.001957819,0.001591874,0.00004130339,0.0002526769,0.002806224,0.0002358298,0.0004976703,0.005254582,0.9870936,0.000109352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001045073,0.02175718,0.001368481,0.9568882,0.0159308,0.0001458071,0.0001196633,0.00005997081,0.002684762],"genre_scores_gemma":[0.02213268,0.08698749,0.01040605,0.8427259,0.02009321,0.00056072,0.0007978466,0.0002764984,0.01601962],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8902743,"threshold_uncertainty_score":0.5802921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5827897630645484,"score_gpt":0.6799588863738021,"score_spread":0.09716912330925365,"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."}}