{"id":"W4386438180","doi":"10.1128/aem.00666-23","title":"Development of heat-shock resistance in <i>Legionella pneumophila</i> modeled by experimental evolution","year":2023,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Legionella and Acanthamoeba research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Government of Canada","keywords":"Legionella pneumophila; Biology; Heat shock protein; Experimental evolution; Microbiology; Adaptation (eye); HSP60; Genetic Fitness; Heat shock; Chaperone (clinical); Pasteurization; Legionella; Bacteria; Genetics; Hsp70; Gene; Food science","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":[0.000272494,0.0003368672,0.0002892618,0.0002698792,0.0002649131,0.0003468417,0.0005599057,0.0004107211,0.000940115],"category_scores_gemma":[0.0005895545,0.0001309197,0.0005003504,0.000230296,0.0002888966,0.0002285054,0.0004782572,0.0005280723,0.00009290907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007931722,"about_ca_system_score_gemma":0.0003045886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003881463,"about_ca_topic_score_gemma":0.002300173,"domain_scores_codex":[0.9998485,0.00004245697,0.00001031738,0.00003868709,0.00002289187,0.00003713978],"domain_scores_gemma":[0.9996243,0.0001340693,0.0001046445,0.00004794428,0.00004296001,0.00004609992],"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":[0.0008340241,0.001019799,0.05372507,0.0002044663,0.0001691986,0.0007263327,0.0002250492,0.1938119,0.7353191,0.004277283,0.0003890479,0.009298818],"study_design_scores_gemma":[0.0001534455,0.005197173,0.05711602,0.00003036704,0.0001912904,0.0003248658,0.0003679846,0.7941396,0.1366099,0.001666226,0.004109021,0.00009409725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99771,0.00004539239,0.001543872,0.00002395938,0.000007163227,0.00001549642,0.0001505817,0.00001549139,0.0004880189],"genre_scores_gemma":[0.9959058,0.00007551973,0.002938317,0.00003074973,0.000003005166,0.0000678373,0.0003033266,0.00001030189,0.0006651983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003881463,"threshold_uncertainty_score":0.007717729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006576085521796318,"score_gpt":0.2080054571940295,"score_spread":0.2014293716722332,"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."}}