{"id":"W4391811789","doi":"10.1007/s10534-024-00587-0","title":"Author Correction: In vitro assessment of antibacterial and antiviral activity of three copper products after 200 rounds of simulated use","year":2024,"lang":"en","type":"erratum","venue":"BioMetals","topic":"Orthopedic Infections and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Martec (Canada); University of British Columbia; Vancouver Coastal Health","funders":"","keywords":"Copper; In vitro; Coating; Table (database); Chemistry; Nuclear chemistry; Thermal; Alloy; Product (mathematics); Metallurgy; Combinatorial chemistry; Materials science; Biochemistry; Mathematics; Computer science; Organic chemistry; Data mining; Physics; Thermodynamics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003002528,0.0003102294,0.001150945,0.0009637667,0.00001967491,0.00002379462,0.0000325899,0.0004138896,0.00008149176],"category_scores_gemma":[0.0001021553,0.0002451065,0.0001729018,0.001007307,0.0001980684,0.0001723581,0.00008791179,0.0003590291,0.000002272279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001045808,"about_ca_system_score_gemma":0.0004711348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006301829,"about_ca_topic_score_gemma":0.00005904329,"domain_scores_codex":[0.9983171,0.00008608405,0.0005815675,0.000447916,0.0003629703,0.0002044259],"domain_scores_gemma":[0.9988608,0.0000569943,0.0003674046,0.0004036084,0.0002594411,0.00005174174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005311294,0.007332983,0.3241704,0.009732417,0.005934223,0.0004736128,0.0002973199,0.000003644923,0.5613889,0.00001232482,0.05944088,0.02590198],"study_design_scores_gemma":[0.002420582,0.00157593,0.932902,0.00176189,0.001855105,0.0000508128,0.00001129151,0.0004524945,0.04266375,0.000006306994,0.0159767,0.000323132],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795588,0.0005774426,0.00001057681,0.00006459543,0.01732736,0.0008049256,0.0006902314,0.00002252996,0.0009434986],"genre_scores_gemma":[0.9621046,0.0001543362,0.0002219683,0.000003963488,0.0003844464,0.0000153037,0.000293531,0.00004136041,0.03678044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6087316,"threshold_uncertainty_score":0.9995152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02954151230926585,"score_gpt":0.3264597178786827,"score_spread":0.2969182055694168,"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."}}