{"id":"W3216085374","doi":"10.1136/annrheumdis-2021-221780","title":"Response to: Correspondence on ‘Anticardiolipin and other antiphospholipid antibodies in critically ill COVID-19 positive and negative patients' by Liu","year":2021,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"thermodynamics and calorimetric analyses","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; University of Calgary","funders":"","keywords":"Mosaic; Bioaccumulation; Coronavirus disease 2019 (COVID-19); Computer science; Medicine; Risk analysis (engineering); Computational biology; Biology; Ecology; 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":[0.0002184397,0.0001907381,0.000396712,0.00008426722,0.00009988365,0.00005673412,0.0001919361,0.00005711415,0.0001287005],"category_scores_gemma":[0.01364161,0.0001452267,0.0001120821,0.0003298032,0.000289527,0.00006354421,0.0001957149,0.00009295017,0.00000398586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002719897,"about_ca_system_score_gemma":0.0001280491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002167198,"about_ca_topic_score_gemma":0.000009632078,"domain_scores_codex":[0.9985443,0.0002417249,0.0003191978,0.0003296867,0.0003252842,0.0002398341],"domain_scores_gemma":[0.9968146,0.002167661,0.0001120368,0.0003477085,0.0003010056,0.0002569589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02639459,0.006082849,0.8104453,0.002897268,0.002448164,0.0001781036,0.01258585,0.0005178999,0.02972971,0.01269913,0.03283339,0.06318774],"study_design_scores_gemma":[0.004583536,0.0005395713,0.8973687,0.004523111,0.0004249736,0.00001985824,0.0070987,0.001962543,0.06642226,0.01156128,0.00414331,0.001352185],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936724,0.0016502,0.00006587939,0.002729043,0.00004031361,0.000107425,0.001209522,0.00001355936,0.0005116424],"genre_scores_gemma":[0.9933463,0.0005248036,0.00004135587,0.00572678,0.000006638572,0.000009085794,0.000009281057,0.00001810694,0.0003176881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08692335,"threshold_uncertainty_score":0.9946669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01866239352135139,"score_gpt":0.306226100563348,"score_spread":0.2875637070419966,"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."}}