{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01340911,0.001636863,0.001875503,0.002391244,0.0008714051,0.00575754,0.00136764,0.006204852,0.008133759],"category_scores_gemma":[0.007543928,0.0006138421,0.001373826,0.001281455,0.002551798,0.004442734,0.004703762,0.009533186,0.002755935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003878698,"about_ca_system_score_gemma":0.006695283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002216171,"about_ca_topic_score_gemma":0.00530853,"domain_scores_codex":[0.9963407,0.0008546597,0.0002992888,0.0006309624,0.001188565,0.0006857436],"domain_scores_gemma":[0.9905078,0.003527529,0.0006728101,0.0004343115,0.002311189,0.002546398],"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":[0.0005251233,0.0001969522,0.0009361036,0.00181495,0.0001256741,0.0002011158,0.0001837394,0.0004483336,0.002763024,0.01835832,0.6286094,0.3458374],"study_design_scores_gemma":[0.000108065,0.0001976883,0.002666707,0.001524557,0.00008410106,0.0003781743,0.0001104162,0.0003760108,0.0009150304,0.007646007,0.9859586,0.00003468011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006784023,0.7851798,0.002029394,0.1389775,0.06541649,0.00003998806,0.000230586,0.000101053,0.007346767],"genre_scores_gemma":[0.01332061,0.7367684,0.00703853,0.0495791,0.1687687,0.0001163983,0.0005278424,0.0001992633,0.02368126],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01340911,"threshold_uncertainty_score":0.07091498,"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."}}