{"id":"W4387363846","doi":"10.1016/j.cmi.2023.09.020","title":"A world health assembly resolution on diagnostics: implications for the ESCMID community","year":2023,"lang":"en","type":"article","venue":"Clinical Microbiology and Infection","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Resolution (logic); Computational biology; Data science; Biology; Computer science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.1211255,0.002377478,0.002847859,0.004028718,0.02223101,0.02835123,0.01062803,0.1229827,0.02122847],"category_scores_gemma":[0.2357855,0.002232659,0.005010634,0.004516222,0.0233789,0.02308813,0.01821063,0.1151488,0.004863485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01862954,"about_ca_system_score_gemma":0.0980225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08172134,"about_ca_topic_score_gemma":0.1043282,"domain_scores_codex":[0.9212908,0.02085186,0.008659992,0.006098335,0.03029631,0.01280266],"domain_scores_gemma":[0.6959962,0.159215,0.01663256,0.008100678,0.06337623,0.05667938],"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":[0.00006734514,0.0002566482,0.001808433,0.0002101604,0.0000492268,0.000505142,0.002406054,0.0002091735,0.000265167,0.05874623,0.9222689,0.01320753],"study_design_scores_gemma":[0.0001565818,0.00009744804,0.004950769,0.00314084,0.00007853248,0.0003111356,0.008975146,0.0004765172,0.0002943414,0.03951642,0.9416587,0.0003435676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004756719,0.0006622132,0.0002531182,0.9863877,0.009911979,0.00001259715,0.00004992308,0.00001441657,0.002232251],"genre_scores_gemma":[0.006480398,0.0008982648,0.001629869,0.975602,0.009660182,0.00007214495,0.00006438833,0.0000548334,0.005537974],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1229827,"threshold_uncertainty_score":0.6405803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7607111996640439,"score_gpt":0.6381426542736973,"score_spread":0.1225685453903466,"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."}}