{"id":"W2893598313","doi":"10.14288/1.0371154","title":"Profiling the early molecular response of the human bronchial epithelium to Aspergillus fumigatus using a multi-omics approach","year":2018,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Chronic Obstructive Pulmonary Disease (COPD) Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Aspergillus fumigatus; Profiling (computer programming); Computational biology; Biology; Respiratory epithelium; Omics; Epithelium; Microbiology; Computer science; Bioinformatics; Genetics","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":[0.0002070335,0.0003450132,0.0005268588,0.0007361812,0.0003037897,0.0007045184,0.0001936484,0.0005491101,0.0006849775],"category_scores_gemma":[0.0001535751,0.0002062024,0.0004736843,0.0006016065,0.0001527982,0.0003264632,0.0003225373,0.0004951476,0.0004410618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003034125,"about_ca_system_score_gemma":0.0002484768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001083153,"about_ca_topic_score_gemma":0.001921234,"domain_scores_codex":[0.9998242,0.00001709838,0.00001494852,0.00005679347,0.00006020904,0.000026785],"domain_scores_gemma":[0.999927,0.00001654595,0.0000153318,0.000006680399,0.00002628618,0.000007975119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009385096,0.00002552325,0.002651572,0.0001750431,0.00002149636,0.00009409175,0.00005455156,0.0001922051,0.9931952,0.00004654434,0.0001492353,0.003300611],"study_design_scores_gemma":[0.00001271778,0.0004179757,0.1522781,0.00008738967,0.0001753611,0.0008742339,0.000976377,0.008836615,0.8235206,0.0004975025,0.01226478,0.00005836533],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9470245,0.007855956,0.02993109,0.0006321409,0.0001248964,0.0001755564,0.01099456,0.0003807405,0.002880631],"genre_scores_gemma":[0.914725,0.009757684,0.05625806,0.001021697,0.0000805639,0.000363076,0.01266048,0.00007876303,0.005054658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001083153,"threshold_uncertainty_score":0.002291501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941832692161312,"score_gpt":0.2426161717860252,"score_spread":0.2231978448644121,"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."}}