{"id":"W3092071409","doi":"10.1093/clinchem/hvaa212","title":"Deus Ex Machina? Predicting SARS-CoV-2 Infection from Lab Tests Using Machine Learning","year":2020,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"COVID-19 diagnosis using AI","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Electricity Association; University of Ottawa; Ottawa Hospital","funders":"","keywords":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Virology; Coronavirus Infections; Sars virus; Medicine; Internal medicine; Infectious disease (medical specialty)","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":[0.001486493,0.0007351429,0.0007228364,0.00119007,0.000285568,0.001412665,0.0006463314,0.0007938089,0.001325642],"category_scores_gemma":[0.003518726,0.0002202365,0.0006618198,0.0003968176,0.0002593698,0.0009738309,0.0006191895,0.0009992374,0.0007231761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003937238,"about_ca_system_score_gemma":0.0005186205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002664485,"about_ca_topic_score_gemma":0.002924947,"domain_scores_codex":[0.9994978,0.0001554135,0.00004689396,0.0001300056,0.00009542504,0.00007436069],"domain_scores_gemma":[0.9990754,0.0005326879,0.0001229519,0.00007933284,0.0001150952,0.00007459045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00196672,0.0008736041,0.5100325,0.0002724892,0.0004628811,0.0006129375,0.0001215408,0.03427605,0.008293602,0.003317632,0.01428921,0.4254809],"study_design_scores_gemma":[0.00007978538,0.0005066351,0.08329005,0.0001129143,0.0001804188,0.0006366285,0.0002824971,0.8882565,0.009443766,0.00862445,0.008533506,0.00005280049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8925017,0.006018944,0.07615566,0.008128133,0.0006031583,0.0001634161,0.003165933,0.002024213,0.01123888],"genre_scores_gemma":[0.9806364,0.0006314961,0.01417021,0.0005463857,0.000240309,0.00003052995,0.00150578,0.00002985306,0.002209076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002664485,"threshold_uncertainty_score":0.007861435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1343326228294598,"score_gpt":0.4225643633082537,"score_spread":0.2882317404787939,"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."}}