{"id":"W2302045460","doi":"10.1021/acsbiomaterials.5b00412","title":"Antimicrobial Activity of Amphiphilic Triazole-Linked Polymers Derived from Renewable Sources","year":2016,"lang":"en","type":"article","venue":"ACS Biomaterials Science & Engineering","topic":"Antimicrobial agents and applications","field":"Chemistry","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Industry Canada; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Trent University; Grain Farmers of Ontario","keywords":"Antimicrobial; Amphiphile; Polymer; Materials science; Triazole; Membrane; Bacteria; Click chemistry; Contact angle; Combinatorial chemistry; Nanotechnology; Organic chemistry; Chemistry; Polymer chemistry; Biochemistry; Copolymer; Biology; Composite material","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":[0.0001856815,0.0001894139,0.0002772883,0.0001028834,0.0001499682,0.00008177379,0.0005725174,0.00008904652,0.0004366071],"category_scores_gemma":[0.00007478519,0.0001430555,0.00006268702,0.000293073,0.000338459,0.0003307326,0.0001777369,0.00002092862,0.00001991515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005851779,"about_ca_system_score_gemma":0.00008222026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007928945,"about_ca_topic_score_gemma":0.000004877484,"domain_scores_codex":[0.9986812,0.000007110454,0.0003069581,0.0004056769,0.000194714,0.0004043096],"domain_scores_gemma":[0.999202,0.00006145367,0.0001799381,0.0003975946,0.00005057181,0.0001085146],"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":[0.00001819865,0.00003545668,0.0001204638,0.00001364681,0.00001339513,8.352287e-7,0.00007867566,0.00009859574,0.9988861,0.00004138855,0.00001980702,0.0006734069],"study_design_scores_gemma":[0.0003990576,0.000005498916,0.001071636,0.0001059917,0.00001621241,0.000002681799,0.000009918384,0.00004566454,0.9976749,0.0000115694,0.0004517807,0.0002050958],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970584,0.00002210528,0.001977943,0.0002273587,0.0002224431,0.00007471235,0.0002100413,0.0001422283,0.00006479167],"genre_scores_gemma":[0.9989027,0.00003654883,0.0007782304,0.00001521758,0.0001581585,0.0000104893,0.000008564107,0.00002157879,0.00006846705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001844369,"threshold_uncertainty_score":0.5833633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277603723741601,"score_gpt":0.2208254913137709,"score_spread":0.2080494540763549,"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."}}