{"id":"W4285113137","doi":"10.1039/d2en00322h","title":"Motion-based phenol detection and degradation using 3D hierarchical AA-NiMn-CLDHs@HNTs-Ag nanomotors","year":2022,"lang":"en","type":"article","venue":"Environmental Science Nano","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China; Jinan Science and Technology Bureau","keywords":"Degradation (telecommunications); Phenol; Materials science; Nanotechnology; Chemical engineering; Chemistry; Computer science; Organic chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000282512,0.0001274493,0.00009692631,0.0001113108,0.001261918,0.00005714907,0.0001817519,0.00001894549,0.0009551097],"category_scores_gemma":[0.000002935068,0.0001315793,0.00004206114,0.000292039,0.0003545952,0.0002368655,0.0001803672,0.0001490082,0.00001547128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003019982,"about_ca_system_score_gemma":0.00005990367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001053579,"about_ca_topic_score_gemma":0.000001424647,"domain_scores_codex":[0.9987116,0.00006019813,0.0001616908,0.0003701889,0.0004080599,0.0002882523],"domain_scores_gemma":[0.9996141,0.00002289055,0.00008700573,0.0001643699,0.000003404165,0.0001082539],"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":[0.00001100298,0.0001611019,0.02670054,0.000001756914,0.00000429469,6.930938e-7,0.0001370109,0.004402083,0.9226955,0.0001088179,0.00000374281,0.04577345],"study_design_scores_gemma":[0.002111488,0.0004710537,0.05919996,0.00001689385,0.00007763173,0.00001922339,0.001358594,0.2219915,0.7085307,0.001033538,0.00421971,0.0009697988],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9769698,0.00002138506,0.02228023,0.00002732912,0.0002076892,0.0002002298,0.00003451086,0.0000148541,0.000243907],"genre_scores_gemma":[0.9974278,0.000001027067,0.002280175,0.00004380173,0.00006258915,0.00001645786,0.00002031265,0.00001149239,0.0001363218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2175894,"threshold_uncertainty_score":0.9999582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008139936834880497,"score_gpt":0.209222257304694,"score_spread":0.2010823204698135,"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."}}