{"id":"W4319161518","doi":"10.20944/preprints202302.0042.v1","title":"Targeting Matrix Exopolysaccharides to Disrupt &lt;em&gt;Pseudomonas aeruginosa&lt;/em&gt; Biofilms in Cystic Fibrosis","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Pseudomonas aeruginosa; Cystic fibrosis; Biofilm; Antibiotics; Microbiology; Extracellular matrix; Chronic infection; Antimicrobial; Biology; Medicine; Bacteria; Immunology; Internal medicine; Immune system; Cell biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.003312841,0.001441453,0.002370445,0.001958898,0.0002868028,0.000236001,0.001956473,0.0009126684,0.002367213],"category_scores_gemma":[0.01404469,0.001460838,0.0007486771,0.001882208,0.0003368757,0.0003438398,0.007733293,0.00291837,0.01032928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001350893,"about_ca_system_score_gemma":0.0008874933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009698237,"about_ca_topic_score_gemma":0.0005045173,"domain_scores_codex":[0.9882325,0.0005284575,0.002390399,0.003702694,0.002695736,0.002450233],"domain_scores_gemma":[0.9924086,0.001326963,0.0006942775,0.003515956,0.0006808578,0.001373377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001391087,0.0005298958,0.3120503,0.003286259,0.0003800877,0.0008617206,0.002623896,0.004772619,0.6708525,0.0001364559,0.001658909,0.001456285],"study_design_scores_gemma":[0.003434621,0.0004821027,0.779788,0.008998272,0.0004917159,0.0001433434,0.001876917,0.003901695,0.1824749,0.003063373,0.01235781,0.00298724],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865944,0.002129795,0.0007595976,0.001934614,0.001799929,0.004602175,0.0004666946,0.001125643,0.0005871892],"genre_scores_gemma":[0.9751785,0.0009163378,0.01353041,0.0001706651,0.0008902544,0.002563129,0.000526415,0.0004085639,0.005815668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4883777,"threshold_uncertainty_score":0.9998335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06500833237510532,"score_gpt":0.3647868991375073,"score_spread":0.2997785667624019,"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."}}