{"id":"W4386836886","doi":"10.54724/lc.2023.e12","title":"Allergic diseases, COVID-19 pandemic, and underlying mechanisms","year":2023,"lang":"en","type":"article","venue":"Life Cycle","topic":"Allergic Rhinitis and Sensitization","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Korea Health Industry Development Institute; Ministry of Health and Welfare","keywords":"Pandemic; Medicine; Asthma; Coronavirus disease 2019 (COVID-19); Atopic dermatitis; Disease; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Immunology; Environmental health; Infectious disease (medical specialty); 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":[],"consensus_categories":[],"category_scores_codex":[0.0001123191,0.00009250159,0.0001711706,0.0000753147,0.0001453296,0.00002270168,0.00003142651,0.00006727416,0.0001761727],"category_scores_gemma":[0.0002700271,0.00008360254,0.00003888913,0.0001735745,0.00003531188,0.00005188394,0.00004195384,0.00007525218,0.0001049595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004132915,"about_ca_system_score_gemma":0.0001078135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005240432,"about_ca_topic_score_gemma":0.00001972162,"domain_scores_codex":[0.9992358,0.00003194003,0.0001483977,0.0002131426,0.0001851346,0.0001855986],"domain_scores_gemma":[0.9992431,0.00009032451,0.00003758585,0.0001456026,0.00002241884,0.0004609132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001947733,0.0009442752,0.4094576,0.002684906,0.001686906,0.006560194,0.01827307,0.009878786,0.03949305,0.2533713,0.169087,0.0866152],"study_design_scores_gemma":[0.01218713,0.000593379,0.621134,0.0002419753,0.0003975951,0.0007315808,0.007255102,0.1579775,0.0000957645,0.1222429,0.07600372,0.001139242],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780226,0.0005528709,0.0110046,0.006782643,0.0002339564,0.0003446292,0.00002226277,0.0007141221,0.002322309],"genre_scores_gemma":[0.9918255,0.0007556353,0.0002343869,0.00592943,0.00009316817,0.000009569964,0.0001423994,0.0000215559,0.0009883357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2116764,"threshold_uncertainty_score":0.3409213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07376822321813496,"score_gpt":0.3287332863633933,"score_spread":0.2549650631452584,"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."}}