{"id":"W4381137406","doi":"10.3390/ma16124446","title":"Synthesis and Characterization of Antimicrobial Hydrophobic Polyurethane","year":2023,"lang":"en","type":"article","venue":"Materials","topic":"Antimicrobial agents and applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Materials Research Science and Engineering Center, Harvard University; Cornell Center for Materials Research; National Science Foundation; Consejo Nacional de Ciencia y Tecnología; Hatch; Division of Materials Research; U.S. Department of Agriculture; National Institute of Food and Agriculture; Foundation for Food and Agriculture Research","keywords":"Polyurethane; Characterization (materials science); Antimicrobial; Materials science; Chemistry; Polymer science; Organic chemistry; Nanotechnology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002960375,0.0002626014,0.0001274191,0.0002787928,0.0001807378,0.0001449765,0.0001250719,0.000250775,0.001072803],"category_scores_gemma":[0.0004252252,0.0001166018,0.0001891739,0.0002173278,0.0001299069,0.000224365,0.000130026,0.0003884647,0.0004110178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001207556,"about_ca_system_score_gemma":0.0002464776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002822156,"about_ca_topic_score_gemma":0.000458682,"domain_scores_codex":[0.999828,0.00002101613,0.00001890277,0.00002615625,0.00007650848,0.00002936269],"domain_scores_gemma":[0.9997013,0.00006138111,0.00006525199,0.00002674557,0.0001066389,0.00003855235],"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":[0.00001376984,0.00002387958,0.00007352418,0.00007515487,0.000001629649,0.00006306153,0.00002459855,0.0001947795,0.9956291,0.00006200587,0.00002025335,0.003818336],"study_design_scores_gemma":[0.000002895221,0.0003264171,0.00114982,0.0000087817,0.000003068901,0.0001483656,0.00001887579,0.0004583918,0.9939188,0.00003440005,0.003924922,0.000005303475],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9476597,0.005300909,0.04099707,0.0001562486,0.00007392355,0.0003460129,0.0004995377,0.000131987,0.004834491],"genre_scores_gemma":[0.9522572,0.002927968,0.0377423,0.00009721542,0.00002884825,0.0001739065,0.0006887054,0.00005020282,0.006033572],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001072803,"threshold_uncertainty_score":0.003588855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115160419803764,"score_gpt":0.2204463858646686,"score_spread":0.2092947816666309,"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."}}