{"id":"W6958852804","doi":"10.6084/m9.figshare.c.7240847","title":"A reduced proteomic signature in critically ill Covid-19 patients determined with plasma antibody micro-array and machine learning","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Legal and Regulatory Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children’s Health Research Institute; London Health Sciences Centre; Lawson Health Research Institute; Western University","funders":"","keywords":"Proteome; Sepsis; Proteomics; Antibody; Microarray; Critically ill; Microarray analysis techniques","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009178777,0.0002609424,0.000342595,0.0002771192,0.0001619738,0.0001533693,0.0002212247,0.0004753556,0.05574823],"category_scores_gemma":[0.001630001,0.000194682,0.00007731659,0.0003840836,0.00007264179,0.00007105366,0.00006377727,0.0005761147,0.0003381282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001079423,"about_ca_system_score_gemma":0.0003186558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006213924,"about_ca_topic_score_gemma":0.003048489,"domain_scores_codex":[0.9984757,0.0001999979,0.0001694005,0.0005120785,0.0003202384,0.0003225647],"domain_scores_gemma":[0.9993517,0.00005817245,0.0001155418,0.0001306937,0.0001043082,0.0002395509],"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":[0.0001306295,0.0001673922,0.002995274,0.003618615,0.0003151178,0.0005148522,0.008607855,0.00001408457,0.002173973,0.00002908322,0.980344,0.001089151],"study_design_scores_gemma":[0.0005056058,0.00007629726,0.0002038673,0.003575232,0.00006259408,0.000002792573,0.0001601238,0.00002616948,0.00009933021,0.00002973272,0.9948193,0.0004389932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01923604,0.007824024,0.000005884572,0.00593459,0.0005528094,0.007059446,0.2933494,0.001864153,0.6641736],"genre_scores_gemma":[0.06729498,0.00003778956,0.0003585075,0.001152094,0.0006175444,0.0002773638,0.05424615,0.0005019807,0.8755136],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2391033,"threshold_uncertainty_score":0.945115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01663538095167343,"score_gpt":0.2894296829325533,"score_spread":0.2727943019808799,"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."}}