{"id":"W4366173974","doi":"10.1080/09506608.2023.2193784","title":"Biomaterial strategies to combat implant infections: new perspectives to old challenges","year":2023,"lang":"en","type":"article","venue":"International Materials Reviews","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"ARC Industrial Transformation Training Centre for Uniquely Australian Foods; Australian Research Council; Natural Sciences and Engineering Research Council of Canada; National Academy of Engineering; Deutsche Forschungsgemeinschaft; Department of Biotechnology, Government of West Bengal; Science and Engineering Research Board; Universiti Kebangsaan Malaysia; KU Leuven; British Council","keywords":"Biomaterial; Antibiotic resistance; Nanotechnology; Risk analysis (engineering); Computer science; Intensive care medicine; Medicine; Engineering ethics; Antibiotics; Engineering; Biology; Materials science; Microbiology","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":[0.0004252713,0.0003196899,0.0005170319,0.0004107422,0.00003888015,0.0003693967,0.0003893251,0.00008507764,0.001161449],"category_scores_gemma":[0.0001405078,0.0003039876,0.0000675403,0.0002634126,0.00001191206,0.0002810592,0.0001396781,0.00004629345,0.007021131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001480098,"about_ca_system_score_gemma":0.0000196422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001541487,"about_ca_topic_score_gemma":0.00003623745,"domain_scores_codex":[0.9984363,0.00005991012,0.0006107668,0.0003298683,0.0002140613,0.0003490358],"domain_scores_gemma":[0.9993522,0.00003892208,0.0000551377,0.0003160961,0.00005384748,0.0001838401],"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":[0.00002200544,0.00001918381,0.000001309955,0.0002009693,0.00009564541,0.00001687503,0.001785684,0.0036156,0.9324096,0.009331031,0.04839415,0.004107967],"study_design_scores_gemma":[0.0003725612,0.0001446771,0.003007692,0.0005208213,0.00002487526,0.00007683006,0.0003561206,0.00005302026,0.1471789,0.0006751351,0.8468796,0.0007098351],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638833,0.003571305,0.0019114,0.002604936,0.02188939,0.00158829,0.0003874049,0.002714676,0.001449306],"genre_scores_gemma":[0.9658539,0.02416638,0.003047267,0.0001569841,0.003973281,0.0009016299,0.0001796147,0.0002131176,0.00150787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7984854,"threshold_uncertainty_score":0.9999412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04066768653179782,"score_gpt":0.3023851322530639,"score_spread":0.2617174457212661,"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."}}