{"id":"W4403059023","doi":"10.58931/cait.2023.3254","title":"Aeroallergen Avoidance: Updated Evidence and How to Advise Patients","year":2023,"lang":"en","type":"article","venue":"Canadian allergy & immunology today.","topic":"Allergic Rhinitis and Sensitization","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Aeroallergen","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001538049,0.0002259752,0.000334889,0.0004852401,0.000246503,0.00003842872,0.000148138,0.0002441803,0.0004591179],"category_scores_gemma":[0.0004423411,0.0002306746,0.00005452132,0.000608139,0.0001219156,0.000147733,0.00007982566,0.0002284978,0.0005743533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002314419,"about_ca_system_score_gemma":0.0004107641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006983889,"about_ca_topic_score_gemma":0.04639794,"domain_scores_codex":[0.9983865,0.00008799331,0.0002180198,0.0004710165,0.0001793658,0.0006570792],"domain_scores_gemma":[0.9985682,0.00005780226,0.00006297968,0.0004166389,0.000278033,0.000616365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006977936,0.0001369616,0.04554273,0.00006805738,0.001537416,0.001828391,0.004860818,0.0001444064,0.009760032,0.00351724,0.8768888,0.05501732],"study_design_scores_gemma":[0.001221939,0.0004156917,0.6462768,0.0001699921,0.00002277072,0.00005577967,0.0003979364,0.0002731553,0.0001597086,0.00005861693,0.3506244,0.0003232198],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666696,0.0009760706,0.00002303712,0.02869768,0.0005933546,0.0004694221,0.000025985,0.0001576307,0.002387228],"genre_scores_gemma":[0.9822532,0.001956511,0.0001520692,0.003708228,0.00009270029,0.00003745985,0.0004070386,0.00004652253,0.01134628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6007341,"threshold_uncertainty_score":0.9996287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665154243074339,"score_gpt":0.2372862994620262,"score_spread":0.2206347570312828,"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."}}