{"id":"W3033788641","doi":"10.20452/pamw.15422","title":"Novel coronavirus disease 2019: predicting prognosis by using a computed tomography severity score and clinicolaboratory data","year":2020,"lang":"en","type":"article","venue":"Polskie Archiwum Medycyny Wewnętrznej","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Niagara Health System; McMaster University","funders":"","keywords":"Medicine; Intensive care unit; Internal medicine; Pleural effusion; Proportional hazards model; Oxygen saturation; Emergency medicine; Hazard ratio; Pericardial effusion; Mortality rate; Computed tomography; Radiology; Confidence interval","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"],"consensus_categories":[],"category_scores_codex":[0.001169992,0.000529666,0.001015942,0.000190774,0.0004476924,0.0001134271,0.0008376753,0.0001551746,0.00004589099],"category_scores_gemma":[0.02049823,0.0004865058,0.0002054096,0.001049869,0.0009942914,0.0004356695,0.002909778,0.001185069,0.00002046922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009308948,"about_ca_system_score_gemma":0.001107898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004497977,"about_ca_topic_score_gemma":0.00002676142,"domain_scores_codex":[0.9947683,0.0002736307,0.001021786,0.001676503,0.001249311,0.001010441],"domain_scores_gemma":[0.9920244,0.003484397,0.0003254371,0.00128371,0.0003244342,0.00255767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002092369,0.001373741,0.9367456,0.001989472,0.0008258022,0.0001820417,0.0006534102,0.00002017695,0.01058358,0.00006655762,0.008329032,0.03713819],"study_design_scores_gemma":[0.00836778,0.001312718,0.7687051,0.00139101,0.001226602,0.00001176404,0.0001999956,0.1275354,0.0003097887,0.0002106901,0.08959077,0.001138383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8999483,0.009842687,0.01800611,0.05304648,0.00056607,0.005545042,0.01167618,0.001133338,0.0002357886],"genre_scores_gemma":[0.9772658,0.000829072,0.01002357,0.01027277,0.0007433633,0.00006619046,0.0006637295,0.0001050604,0.00003040305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1680405,"threshold_uncertainty_score":0.9997587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2124965610846433,"score_gpt":0.4494510753930693,"score_spread":0.2369545143084259,"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."}}