{"id":"W3022359729","doi":"10.4081/monaldi.2020.1327","title":"COVID-19 and clinical mimics. Correct diagnosis is the key to appropriate therapy","year":2020,"lang":"en","type":"article","venue":"Monaldi Archives for Chest Disease","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint-Vincent Hospital","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Globe; Intensive care medicine; Disease; Health care; Medical emergency; Virology; Infectious disease (medical specialty); Political science; Pathology","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"],"consensus_categories":[],"category_scores_codex":[0.0005127438,0.0002718304,0.0005405892,0.00006212963,0.0003149633,0.00004786837,0.0003512092,0.00004857942,0.00009738249],"category_scores_gemma":[0.0689547,0.0001730299,0.0005444995,0.000214909,0.0007783851,0.00004094505,0.0004213315,0.0003762908,0.00003383712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003821238,"about_ca_system_score_gemma":0.0008332806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003771047,"about_ca_topic_score_gemma":0.000005012831,"domain_scores_codex":[0.9975442,0.0002106192,0.0005225646,0.0008151982,0.0004283768,0.0004790502],"domain_scores_gemma":[0.9735848,0.02142518,0.0001030475,0.0005654842,0.00006369704,0.00425778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02190214,0.001330938,0.7541966,0.001991485,0.0009203124,0.0001524473,0.007568291,0.00007537244,0.0001604482,0.0002949931,0.04807846,0.1633285],"study_design_scores_gemma":[0.004070707,0.001514876,0.3801524,0.00006876793,0.0002585426,4.76341e-7,0.0001317011,0.005931969,0.0000654217,0.004091603,0.603447,0.0002665737],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2596943,0.001399137,0.005054659,0.7290879,0.0001202498,0.003723435,0.0006712798,0.0001327198,0.0001163164],"genre_scores_gemma":[0.7450913,0.007587942,0.00125484,0.2438645,0.0006645485,0.001058122,0.00005031889,0.00005475965,0.0003737526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5553685,"threshold_uncertainty_score":0.9388879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1237580321141875,"score_gpt":0.4362336296739718,"score_spread":0.3124755975597843,"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."}}