{"id":"W2560730333","doi":"10.1016/j.biomaterials.2016.12.002","title":"Antimicrobial resistance challenged with metal-based antimicrobial macromolecules","year":2016,"lang":"en","type":"review","venue":"Biomaterials","topic":"Antimicrobial agents and applications","field":"Chemistry","cited_by":94,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Prince Edward Island","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Antimicrobial; Macromolecule; Nanotechnology; Materials science; Biocompatibility; Anti-Infective Agents; Antibiotic resistance; Context (archaeology); Combinatorial chemistry; Chemistry; Antibiotics; Microbiology; Biology; Biochemistry","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002048633,0.001034529,0.002423445,0.0001646253,0.000302411,0.0002553839,0.0009629579,0.0006760692,0.002426171],"category_scores_gemma":[0.00001968052,0.0006746448,0.0006126334,0.0002302147,0.0003782459,0.00009300434,0.0001737683,0.00006043089,0.001150792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001401041,"about_ca_system_score_gemma":0.0004244179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001440736,"about_ca_topic_score_gemma":0.00001350978,"domain_scores_codex":[0.9965734,0.0001252573,0.001136649,0.001185604,0.0002424986,0.000736627],"domain_scores_gemma":[0.997356,0.0000921315,0.001080375,0.001198455,0.0001098902,0.0001631411],"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":[0.0001456032,0.0004071381,3.956017e-7,0.04803501,0.0007951449,0.0001725929,0.00001544417,8.428187e-8,0.8766964,0.0003498388,0.01490492,0.0584774],"study_design_scores_gemma":[0.0005189965,0.000007659579,1.228879e-7,0.0221876,0.0006305672,0.0000505264,0.000001335557,3.947654e-8,0.1537986,0.00000455561,0.8219491,0.0008509082],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008625912,0.9837556,0.0002471892,0.0003078109,0.0004737753,0.001096434,0.008497814,0.0005831706,0.004175656],"genre_scores_gemma":[0.0004906546,0.9921892,0.001412296,0.000095453,0.0007772302,0.0002361147,0.001508359,0.00028563,0.003005055],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8070441,"threshold_uncertainty_score":0.9996269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03279318018741047,"score_gpt":0.2868590484316338,"score_spread":0.2540658682442234,"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."}}