{"id":"W3041302331","doi":"10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a4249","title":"Distinct Lung Microbiome Preceding Clinical Diagnosis of Lung Cancer","year":2020,"lang":"en","type":"article","venue":"","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"Microbiome; Lung cancer; Lung; Medicine; Computer science; Computational biology; Pathology; Biology; Bioinformatics; Internal medicine","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":[0.0004278386,0.0001926796,0.0004852097,0.0007275295,0.000843039,0.0009576871,0.0003141797,0.001260166,0.002862759],"category_scores_gemma":[0.003927615,0.0002276208,0.0003134616,0.0005857308,0.0004433281,0.0006276841,0.0006528759,0.001491435,0.0004634908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007438411,"about_ca_system_score_gemma":0.0007397041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004008886,"about_ca_topic_score_gemma":0.005177156,"domain_scores_codex":[0.9994165,0.0001224778,0.00004674289,0.0001301913,0.0001001072,0.0001840892],"domain_scores_gemma":[0.9977472,0.0006433994,0.0004697208,0.0001190935,0.0003145501,0.0007059614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006195818,0.00005713756,0.9907328,0.00002964017,0.00002326748,0.00206469,0.0001304123,0.00005573785,0.002807292,0.0001238923,0.0004409946,0.002914503],"study_design_scores_gemma":[0.000006334636,0.0002123001,0.9926311,0.00003911676,0.00004275262,0.004133681,0.0006029497,0.0002653878,0.0007146595,0.000234928,0.001103793,0.00001309695],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991952,0.002710572,0.000366366,0.0007891213,0.0001132376,0.00002783835,0.0004528479,0.00001992265,0.00356799],"genre_scores_gemma":[0.9991529,0.0002096111,0.0001035753,0.00009652696,0.00004266785,0.000004661842,0.0001974221,0.000003270423,0.0001893361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004008886,"threshold_uncertainty_score":0.009576857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02980241033385162,"score_gpt":0.3654306358431855,"score_spread":0.3356282255093339,"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."}}