{"id":"W4234275006","doi":"10.22215/etd/2019-13815","title":"Genome-wide association study of Pseudomonas aeruginosa adaptations to the cystic fibrosis lung","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Cystic fibrosis; Pseudomonas aeruginosa; Biology; SNP; Genome; Adaptation (eye); Single-nucleotide polymorphism; Lung; Gene; Genome-wide association study; Computational biology; Random forest; Genetics; Genotype; Bacteria; Medicine; Machine learning; Computer science; 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":[0.0007437702,0.00009438806,0.0001382047,0.0004146593,0.0002508436,0.0004220188,0.0001107037,0.0002820306,0.00222264],"category_scores_gemma":[0.00173897,0.00008423266,0.0002328704,0.0009372664,0.00009528407,0.0001114298,0.0002425462,0.0004763086,0.0004576723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001240346,"about_ca_system_score_gemma":0.0001744568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002356582,"about_ca_topic_score_gemma":0.003080437,"domain_scores_codex":[0.9996634,0.0001313898,0.00001576074,0.00009596372,0.00005227877,0.00004123206],"domain_scores_gemma":[0.9995172,0.0002291691,0.00005852441,0.00004796924,0.00007481418,0.00007230006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000845096,0.0001787231,0.9371724,0.00008014087,0.0004710922,0.0003544273,0.0003979316,0.000389534,0.01828897,0.0003667953,0.002072914,0.03938193],"study_design_scores_gemma":[0.000007140842,0.00006234477,0.9971508,0.000009382074,0.00006386963,0.000114072,0.0001372719,0.0002137412,0.0006413662,0.0001061965,0.001489223,0.000004595308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924056,0.001430817,0.001146362,0.0006526533,0.00003201714,0.0000170531,0.001236194,0.00001832739,0.003060978],"genre_scores_gemma":[0.9939804,0.001038974,0.001003089,0.0001483353,0.00002093873,0.00001779678,0.0009415977,0.00001167516,0.002837196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002356582,"threshold_uncertainty_score":0.007435441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008200703070051874,"score_gpt":0.2441819358201844,"score_spread":0.2359812327501326,"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."}}