{"id":"W4311292860","doi":"10.1007/s10534-022-00473-7","title":"Efficacy of copper blend coatings in reducing SARS-CoV-2 contamination","year":2022,"lang":"en","type":"article","venue":"BioMetals","topic":"Infection Control and Ventilation","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Teck Resources","keywords":"Copper; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Virus; Contamination; 2019-20 coronavirus outbreak; Coronavirus; Virology; Materials science; Chemistry; Biology; Metallurgy; Medicine; Infectious disease (medical specialty)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004642711,0.00005546536,0.000183824,0.0003917266,0.00005138912,0.000004525376,0.00002716244,0.00002533838,0.0001510872],"category_scores_gemma":[0.0001395968,0.00005483823,0.00005585148,0.0005601392,0.00002061889,0.00005255535,0.00002585754,0.00007786414,0.000007998698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008125095,"about_ca_system_score_gemma":0.0000413177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001461146,"about_ca_topic_score_gemma":0.000004447865,"domain_scores_codex":[0.9992658,0.00006000422,0.0002696056,0.0001211948,0.0001904567,0.00009287267],"domain_scores_gemma":[0.9996429,0.00005754035,0.0001316997,0.00009517811,0.00006008401,0.00001256646],"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":[0.0001819586,0.0002413112,0.0103286,0.00003417093,0.00002105076,0.000004375235,0.0003164979,0.00003044135,0.9801105,0.000252541,0.0005958149,0.007882696],"study_design_scores_gemma":[0.00736799,0.0006802491,0.3242547,0.0000808862,0.0001094195,0.00005345485,0.0002508954,0.003108702,0.6457132,0.00004198043,0.01818586,0.0001526755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967512,0.00009576241,0.0003158068,0.0002262176,0.0002149167,0.0003150285,0.00000756652,0.00002161995,0.002051919],"genre_scores_gemma":[0.9992342,0.000002793432,0.00007945084,0.0001476992,0.00004233848,0.00002772519,0.00004703384,0.000007684812,0.0004110657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3343973,"threshold_uncertainty_score":0.2236238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03457391272679357,"score_gpt":0.3191008008920949,"score_spread":0.2845268881653013,"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."}}