{"id":"W2003465850","doi":"10.1016/j.mbs.2011.05.006","title":"Model parameter uncertainties in a dual-species biofilm competition model affect ecological output parameters much stronger than morphological ones","year":2011,"lang":"en","type":"article","venue":"Mathematical Biosciences","topic":"Bacterial biofilms and quorum sensing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Biofilm; Biological system; Competition (biology); Competition model; Ecology; Biochemical engineering; Diffusion; Nonlinear system; Dual (grammatical number); Environmental science; Substrate (aquarium); Biology; Physics; Engineering; Bacteria; Economics","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":[0.001188158,0.001109784,0.00100595,0.000393988,0.0004629015,0.001650404,0.00129255,0.002335575,0.001411948],"category_scores_gemma":[0.004809591,0.0006233649,0.0009435109,0.0003019515,0.001140567,0.002556372,0.001257287,0.001346922,0.000251453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008908699,"about_ca_system_score_gemma":0.0009156539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003894098,"about_ca_topic_score_gemma":0.002351658,"domain_scores_codex":[0.9995909,0.0001182754,0.00002502767,0.0001197232,0.00008026684,0.00006576478],"domain_scores_gemma":[0.9981087,0.001019525,0.0004002021,0.0001047474,0.0002346243,0.000132053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000992432,0.00006451309,0.002512644,0.00005984585,0.00004107614,0.0001048566,0.00004185954,0.970076,0.010112,0.01392594,0.0001745725,0.002787541],"study_design_scores_gemma":[0.00001628337,0.0000374819,0.0008185083,0.000003975644,0.0000194253,0.00002765551,0.0000152452,0.9922615,0.001006102,0.005675197,0.0001007089,0.00001807011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6632227,0.0002790024,0.3277228,0.002021954,0.0001257547,0.00005785938,0.0003065007,0.0002122385,0.006051298],"genre_scores_gemma":[0.9940644,0.00007908812,0.003944973,0.00008293978,0.00001139611,0.00003989781,0.00005217446,0.00002137972,0.001703837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003894098,"threshold_uncertainty_score":0.007742822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07599209259856061,"score_gpt":0.2624701408702345,"score_spread":0.1864780482716739,"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."}}