{"id":"W2297624589","doi":"10.1021/acs.est.5b05734","title":"Shape-Dependent Surface Reactivity and Antimicrobial Activity of Nano-Cupric Oxide","year":2016,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Army Research Office; Division of Graduate Education; Natural Sciences and Engineering Research Council of Canada; U.S. Environmental Protection Agency","keywords":"Reactivity (psychology); Nanomaterials; Oxide; Materials science; Nanotechnology; Nano-; Nanoscopic scale; Chemical engineering; Electrochemistry; Characterization (materials science); Chemical physics; Surface charge; Nanoparticle; Chemistry; Physical chemistry; Composite material; Electrode","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.000465501,0.000117089,0.0001722583,0.0001142953,0.0002299834,0.00001843358,0.0004427237,0.00008068018,0.0001851189],"category_scores_gemma":[0.00004579916,0.00008366336,0.00002294653,0.0003192234,0.002812426,0.0003613691,0.0004423708,0.00005382355,0.0001337763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001401125,"about_ca_system_score_gemma":0.00003116663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003293693,"about_ca_topic_score_gemma":0.000007722927,"domain_scores_codex":[0.9986979,0.00002583589,0.0001654711,0.0005096126,0.000249857,0.0003513053],"domain_scores_gemma":[0.9993147,0.00005807355,0.000142333,0.0004065005,0.000006109602,0.00007231384],"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":[0.000008207504,0.0001449382,0.01004398,0.000001683184,9.787169e-7,7.676092e-7,0.00001326257,0.000002469812,0.9750812,0.0003064028,0.000005736595,0.01439036],"study_design_scores_gemma":[0.0001588039,0.00004221108,0.02795178,0.00001104943,0.000005617896,0.00001353768,0.000030509,0.00001856247,0.9711784,0.0002969825,0.0001810506,0.0001115402],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981768,0.00002737922,0.0003529258,0.001064376,0.0000400421,0.0001651592,0.00003479746,0.00006877074,0.00006976328],"genre_scores_gemma":[0.9986446,0.00006426091,0.001196112,0.00001515321,0.000005357498,0.00001098719,1.095548e-7,0.000007435055,0.00005592116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01790779,"threshold_uncertainty_score":0.9999014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00718232973597947,"score_gpt":0.2131826484599675,"score_spread":0.2060003187239881,"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."}}