{"id":"W1897609666","doi":"10.3389/fmicb.2015.00932","title":"Genetic determinants of heat resistance in Escherichia coli","year":2015,"lang":"en","type":"article","venue":"Frontiers in Microbiology","topic":"Enterobacteriaceae and Cronobacter Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":146,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Health Canada; Alberta Innovates; Alberta Innovates Bio Solutions; Alberta Livestock and Meat Agency; University of Alberta","keywords":"Biology; Escherichia coli; Microbiology; Genetics; Locus (genetics); Enterobacteriaceae; Heat shock protein; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001285214,0.000242938,0.0002639536,0.0005665317,0.0001771398,0.0003826784,0.0001450643,0.0001893018,0.0007602152],"category_scores_gemma":[0.0005145211,0.0001209369,0.0002532877,0.0005596119,0.0001617187,0.000114546,0.0003392389,0.0003853844,0.0003973286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002372099,"about_ca_system_score_gemma":0.0001903746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001542593,"about_ca_topic_score_gemma":0.001148412,"domain_scores_codex":[0.9996698,0.00006009237,0.00003591463,0.00004932957,0.0001039938,0.00008095162],"domain_scores_gemma":[0.9996213,0.00008512371,0.0001094688,0.0000463082,0.0000778629,0.00005997981],"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":[0.00009300583,0.00003216189,0.003189589,0.00004964849,0.000008128681,0.0000944382,0.00003934541,0.0000665558,0.9931837,0.0000538864,0.00003624672,0.003153227],"study_design_scores_gemma":[0.00002265163,0.0009329314,0.3054617,0.00005692511,0.0000774884,0.002546413,0.000347665,0.001187989,0.683108,0.0002176867,0.006005004,0.00003547089],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962508,0.0005308304,0.001376071,0.00006520542,0.00001178907,0.00004105973,0.000689241,0.00004200887,0.0009931264],"genre_scores_gemma":[0.9944622,0.0003041794,0.002492147,0.00005357235,0.000007295305,0.00002944941,0.001637216,0.00001659447,0.0009972438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001542593,"threshold_uncertainty_score":0.003067195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164942900029804,"score_gpt":0.2560743878624229,"score_spread":0.2444249588621248,"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."}}