{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001948018,0.0001216218,0.0002608622,0.0001042655,0.00001031031,0.000005719477,0.000269948,0.0001915188,0.000005790779],"category_scores_gemma":[0.00004651826,0.0001228443,0.0000397715,0.0001261233,0.0001658965,0.000003354862,0.00012495,0.0001029097,0.00000409996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000441128,"about_ca_system_score_gemma":0.0001103797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008169698,"about_ca_topic_score_gemma":0.001977313,"domain_scores_codex":[0.998866,0.0001713073,0.0002981808,0.0003026069,0.00003269864,0.0003292092],"domain_scores_gemma":[0.9995655,0.000004272495,0.00004715699,0.0002802194,0.00004483204,0.00005799126],"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":[0.0002660435,0.00004786864,0.4539144,0.00001594317,0.000007703216,0.000009190702,0.00006784246,0.000008050572,0.5417124,8.674742e-7,0.003812609,0.0001370706],"study_design_scores_gemma":[0.004278764,0.0007367604,0.259881,0.0001114211,0.00001040364,0.00002539605,0.0006091794,0.00004268164,0.668355,0.000260296,0.06518453,0.0005045441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965817,0.002333155,0.0003126717,0.00003153713,0.0003440568,0.0001672635,0.00002310117,0.000002712084,0.0002038539],"genre_scores_gemma":[0.9919359,0.0002063119,0.007265946,0.00008468898,0.0000409178,0.00002001273,0.00004407821,0.00001512179,0.0003870004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1940334,"threshold_uncertainty_score":0.5009444,"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."}}