{"id":"W4284878993","doi":"10.1186/s13567-022-01067-4","title":"One Health—One Biofilm","year":2022,"lang":"en","type":"article","venue":"Veterinary Research","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Cegep de Saint Hyacinthe","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Biofilm; Biology; Abiotic component; Persistence (discontinuity); Human health; Bacteria; Microbiology; Host (biology); Aggregate (composite); Ecology; Nanotechnology; Genetics","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":[0.001152344,0.000087216,0.0001256121,0.0001094212,0.0006770508,0.00003662808,0.0002616603,0.00005621543,0.0006360228],"category_scores_gemma":[0.0000365357,0.0001080007,0.00005709632,0.0002570278,0.0001089318,0.000002980587,0.0009787551,0.0003055292,0.00004276285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004823039,"about_ca_system_score_gemma":0.0001744062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001604458,"about_ca_topic_score_gemma":0.000005732739,"domain_scores_codex":[0.9979721,0.0005275607,0.0001730656,0.0003833871,0.0003869605,0.0005569546],"domain_scores_gemma":[0.9993144,0.00001615193,0.00003810806,0.0004297116,0.00006537,0.0001362571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00033954,0.0001452668,0.00004839171,0.0000230803,0.00002227596,0.00001393749,0.00004012604,0.000002590554,0.9818931,0.0001061866,0.005778305,0.01158721],"study_design_scores_gemma":[0.0006539763,0.01130654,0.003676874,0.00001797238,0.000002668247,0.0001656171,0.0003023185,0.00002562926,0.1725443,0.000040592,0.8109762,0.0002873082],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925919,0.0008228165,0.000008612137,0.003174199,0.0002139885,0.0002115774,0.00005706898,0.0000173426,0.002902562],"genre_scores_gemma":[0.9960521,0.0002004247,0.0008100271,0.0004011785,0.0003571718,0.00004471561,0.0002226054,0.00002868069,0.001883105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8093488,"threshold_uncertainty_score":0.6964003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1539948836240499,"score_gpt":0.383219908015809,"score_spread":0.2292250243917591,"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."}}