{"id":"W3017816528","doi":"10.3390/ijms21082908","title":"Precision Medicine in Childhood Asthma: Omic Studies of Treatment Response","year":2020,"lang":"en","type":"review","venue":"International Journal of Molecular Sciences","topic":"Asthma and respiratory diseases","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"Instituto de Salud Carlos III; Agencia Estatal de Investigación; Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España; European Commission; Ministerio de Ciencia, Innovación y Universidades","keywords":"Precision medicine; Asthma; Omics; Medicine; Personalized medicine; Computational biology; Bioinformatics; Biology; Immunology; 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":[0.004287182,0.0008327687,0.002822722,0.003548464,0.0002698208,0.001654536,0.001013937,0.00105511,0.00317293],"category_scores_gemma":[0.008424828,0.0002919935,0.002334725,0.00317913,0.0005605144,0.001166372,0.001016557,0.001400034,0.0006018787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009463825,"about_ca_system_score_gemma":0.002712567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001457304,"about_ca_topic_score_gemma":0.002527157,"domain_scores_codex":[0.998214,0.0006416775,0.0002968172,0.0002742436,0.0005030258,0.0000703425],"domain_scores_gemma":[0.9929053,0.00564848,0.0005829536,0.0001758955,0.0006068387,0.00008059262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001821677,0.00004331821,0.002049903,0.08254098,0.002717325,0.0002035946,0.0001882104,0.0004995426,0.001210301,0.007038015,0.008778291,0.8945484],"study_design_scores_gemma":[0.0001103056,0.0004692855,0.01661208,0.08100215,0.007399385,0.002467192,0.0003882754,0.0006545078,0.001812151,0.0156523,0.8733066,0.0001257221],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000219745,0.9978677,0.0004222053,0.0006143634,0.0001478273,0.00001667613,0.000140278,0.000008915151,0.0005622485],"genre_scores_gemma":[0.003453237,0.9942989,0.001101235,0.000546231,0.0002418298,0.00003393448,0.0001752375,0.000003568417,0.0001458827],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004287182,"threshold_uncertainty_score":0.02267307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05459250066990529,"score_gpt":0.4191362773221538,"score_spread":0.3645437766522485,"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."}}