{"id":"W2969819343","doi":"10.1111/all.14024","title":"Biologicals in allergic diseases and asthma: Toward personalized medicine and precision health: Highlights of the 3rd EAACI Master Class on Biologicals, San Lorenzo de El Escorial, Madrid, 2019","year":2019,"lang":"en","type":"article","venue":"Allergy","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Library science; Clinical immunology; Medicine; Medical school; Family medicine; Allergy; Immunology; Medical education; Computer science","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":[0.0002876296,0.0002808799,0.0007613322,0.0001312852,0.00006715888,0.000009885511,0.0001609202,0.0001981716,0.0004919159],"category_scores_gemma":[0.0002157186,0.000135102,0.0001197375,0.000169266,0.0004596979,0.00004539625,0.0001427293,0.0001843346,0.00001331053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005445247,"about_ca_system_score_gemma":0.0001242138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009495323,"about_ca_topic_score_gemma":0.00002324579,"domain_scores_codex":[0.997911,0.0003837415,0.0004985331,0.0005250826,0.0003095843,0.0003720404],"domain_scores_gemma":[0.9986752,0.0003788843,0.0002165651,0.0003542117,0.00005279379,0.0003223107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03165355,0.004897044,0.6723011,0.002008286,0.001108708,0.0003787759,0.00640262,0.000164051,0.06453366,0.02871808,0.1121304,0.07570376],"study_design_scores_gemma":[0.006069866,0.003734659,0.8491896,0.0009593226,0.00003025394,0.00002463997,0.0005240569,0.000100922,0.0002002606,0.0007480063,0.1381763,0.0002421218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744504,0.0149627,0.000009835268,0.009138891,0.0003053819,0.0006868216,0.00004747426,0.00003031086,0.000368197],"genre_scores_gemma":[0.9916447,0.004509115,0.00005084154,0.003037338,0.0002574316,0.0000217773,0.00003956155,0.00001840774,0.0004208432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1768885,"threshold_uncertainty_score":0.5509301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03303895695467409,"score_gpt":0.2987048269826982,"score_spread":0.2656658700280241,"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."}}