{"id":"W4404511572","doi":"10.1101/2024.11.18.624128","title":"Host-specific adaptation of <i>Legionella pneumophila</i> to single and multiple hosts","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Legionella and Acanthamoeba research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Vetenskapsrådet; Fonds de recherche du Québec – Nature et technologies; Carl Tryggers Stiftelse för Vetenskaplig Forskning","keywords":"Legionella pneumophila; Host (biology); Adaptation (eye); Legionella; Microbiology; Biology; Bacteria; Ecology; Genetics; Neuroscience","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002359535,0.0002487449,0.0003071205,0.0003293191,0.0001504182,0.0003523768,0.0002286165,0.000320436,0.0008786425],"category_scores_gemma":[0.0004053546,0.0001255057,0.0002316603,0.0002130919,0.0002223581,0.00020851,0.0003338862,0.0003329018,0.0001444304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002507865,"about_ca_system_score_gemma":0.0001134294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004038725,"about_ca_topic_score_gemma":0.0005259407,"domain_scores_codex":[0.9996761,0.00005029813,0.00002930922,0.000121737,0.00005688902,0.0000656929],"domain_scores_gemma":[0.9996049,0.00008963594,0.0001208239,0.00006927632,0.00005736011,0.00005809484],"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":[0.00007988212,0.00002082223,0.005176806,0.00002162753,0.00000786581,0.00004719032,0.00002057452,0.00005682232,0.9934575,0.00001933496,0.00001679963,0.001074764],"study_design_scores_gemma":[0.00002289371,0.001207918,0.2994061,0.00002132988,0.00007339125,0.001667603,0.0003163495,0.002239883,0.6929018,0.00009636845,0.002019434,0.00002691533],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992324,0.0001522224,0.0002914035,0.00001212676,0.000004151007,0.000005947744,0.0001002737,0.00001117269,0.0001903985],"genre_scores_gemma":[0.9990823,0.00006058705,0.000392364,0.00001903482,0.000002961385,0.000009522108,0.000215242,0.000006162246,0.0002117323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008786425,"threshold_uncertainty_score":0.002939343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01974555287024039,"score_gpt":0.2306767365212087,"score_spread":0.2109311836509683,"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."}}