{"id":"W4403852436","doi":"10.1101/2024.10.28.620660","title":"Rapid adaptation and increased genetic parallelism in experimental metapopulations of <i>Pseudomonas aeruginosa</i>","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Ottawa","funders":"","keywords":"Metapopulation; Adaptation (eye); Pseudomonas aeruginosa; Parallelism (grammar); Biology; Computer science; Medicine; Parallel computing; Genetics; Neuroscience; Population; Biological dispersal; Bacteria","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":[0.0004822711,0.0001961795,0.0002269286,0.0002529134,0.0002961087,0.0004535693,0.0004148382,0.0003475154,0.0007227772],"category_scores_gemma":[0.0009992479,0.0001682992,0.000262997,0.0001850849,0.0004558931,0.0002889076,0.0005505022,0.0008909115,0.0001047128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005790694,"about_ca_system_score_gemma":0.0001626128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009933974,"about_ca_topic_score_gemma":0.001262603,"domain_scores_codex":[0.9996276,0.0001317282,0.00003105751,0.00008591675,0.0000622372,0.00006142876],"domain_scores_gemma":[0.9990304,0.0003150027,0.0002527697,0.0001997131,0.00006992023,0.0001322835],"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":[0.0005253505,0.0004033784,0.01358926,0.00006912451,0.00008522975,0.0001020867,0.000232613,0.004557789,0.9755914,0.0009844396,0.0001573002,0.003702042],"study_design_scores_gemma":[0.0003594059,0.005755932,0.2349913,0.00006673866,0.0001855252,0.0008288625,0.0009379343,0.1403674,0.6088104,0.005269538,0.002283312,0.0001436007],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989467,0.00003731043,0.0007525444,0.00003002435,0.000005097536,0.000006750974,0.00003567378,0.00001050345,0.0001754412],"genre_scores_gemma":[0.9988937,0.00001919236,0.0008739133,0.00002455561,0.000002356595,0.00001376275,0.000046299,0.000007546384,0.0001186976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009933974,"threshold_uncertainty_score":0.004201472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01515695395329948,"score_gpt":0.2223474329598255,"score_spread":0.2071904790065261,"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."}}