{"id":"W4411325555","doi":"10.1021/acsnano.5c06573","title":"Exploring the Impact of Biotic and Abiotic Surfaces on Protein Binding Modulation and Bacteria Attachment: Integrating Biological and Mathematical Approaches","year":2025,"lang":"en","type":"article","venue":"ACS Nano","topic":"Oral microbiology and periodontitis research","field":"Dentistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; National Institute of Dental and Craniofacial Research; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fulbright Program","keywords":"Proteome; Microbiome; Biofilm; Protein adsorption; Saliva; Oral Microbiome; Biomolecule; Adhesion; Chemistry; Bacteria; Microbial population biology; Proteomics; Biology; Microbiology; Biophysics; Adsorption; Biochemistry; Bioinformatics; Genetics","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":[0.000898006,0.0005407414,0.0003936136,0.0006313842,0.0002130742,0.0008181515,0.0004938636,0.0005151851,0.0009146241],"category_scores_gemma":[0.001408159,0.0002912567,0.0005536542,0.0006476797,0.0006123203,0.0007783274,0.0004726694,0.0005046889,0.0002643883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000536099,"about_ca_system_score_gemma":0.0005418652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001677949,"about_ca_topic_score_gemma":0.001870697,"domain_scores_codex":[0.9996104,0.00007300211,0.00002073957,0.00009660008,0.000160882,0.00003850204],"domain_scores_gemma":[0.9994666,0.0003077975,0.00008908958,0.00004193503,0.00007829654,0.000016246],"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":[0.0001319537,0.0001686683,0.007775725,0.0005143734,0.0001251504,0.000105109,0.0000830379,0.02971845,0.9077032,0.003258345,0.0003880954,0.05002785],"study_design_scores_gemma":[0.000009938424,0.0002092055,0.02941052,0.00001863032,0.00005675322,0.0001566403,0.0001438063,0.6658121,0.2997468,0.002440807,0.001943994,0.00005077544],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5487691,0.002860163,0.442772,0.0003735227,0.00006530586,0.0001244735,0.0005203021,0.0008041922,0.003710971],"genre_scores_gemma":[0.8514197,0.002297221,0.1435452,0.0001132279,0.00003090114,0.0002329478,0.0003645284,0.00009193942,0.001904273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001677949,"threshold_uncertainty_score":0.004749179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1436313848533905,"score_gpt":0.3389122079461753,"score_spread":0.1952808230927849,"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."}}