{"id":"W4205192916","doi":"10.1016/j.ijid.2022.01.020","title":"Predictive risk factors for hospitalization and response to colchicine in patients with COVID-19","year":2022,"lang":"en","type":"article","venue":"International Journal of Infectious Diseases","topic":"Inflammasome and immune disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université Laval; Montreal Heart Institute","funders":"","keywords":"Colchicine; Medicine; Placebo; Randomization; Predictive value; Coronavirus disease 2019 (COVID-19); Internal medicine; Population; Relative risk; Risk assessment; Body mass index; Clinical trial; Disease; Confidence interval; Environmental health; Alternative medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003504101,0.0007718094,0.001041177,0.0005898426,0.000223593,0.0007765619,0.0004959,0.0004570017,0.001596699],"category_scores_gemma":[0.007489497,0.0002134088,0.001142162,0.0003370481,0.0002187471,0.0002742661,0.0003949026,0.0009334521,0.0001871833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004203041,"about_ca_system_score_gemma":0.0006228057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001543502,"about_ca_topic_score_gemma":0.001171158,"domain_scores_codex":[0.9989762,0.0006245164,0.00007124396,0.0001495858,0.0001132349,0.00006528132],"domain_scores_gemma":[0.9964825,0.002368725,0.0006977228,0.0001359166,0.0001299452,0.0001851126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009806723,0.0003732681,0.9466047,0.0001108611,0.001182258,0.0002137776,0.00005113692,0.02310585,0.0005822442,0.0001771763,0.00101394,0.01677813],"study_design_scores_gemma":[0.001135712,0.002661799,0.4854654,0.0001264797,0.001598898,0.0006416215,0.0001495147,0.505012,0.0008981478,0.001330882,0.0009353717,0.00004416296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906985,0.0008694254,0.006151712,0.0004042905,0.00005537955,0.0001047292,0.001011798,0.00007323352,0.0006308517],"genre_scores_gemma":[0.9977197,0.00009804666,0.001304552,0.00003334568,0.00001834738,0.00004591066,0.0006754312,0.000004021331,0.0001005946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003504101,"threshold_uncertainty_score":0.01853168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002470520918709771,"score_gpt":0.2356648784902252,"score_spread":0.2331943575715154,"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."}}