{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008121029,0.0003162306,0.0002221635,0.0001130928,0.0001156478,0.0001995825,0.0002681894,0.0003108371,0.0003818742],"category_scores_gemma":[0.0001171228,0.0001941772,0.0001871491,0.00008021809,0.0002019607,0.000215363,0.0001871378,0.0002704165,0.0002604974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005246856,"about_ca_system_score_gemma":0.0002285062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002012364,"about_ca_topic_score_gemma":0.004070028,"domain_scores_codex":[0.9999324,0.000004388078,0.000003669573,0.00002128877,0.00001972904,0.00001844795],"domain_scores_gemma":[0.9999614,0.000005115839,0.000009013126,0.000003188054,0.000009551542,0.00001174743],"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":[0.00001692449,0.000006736793,0.00004564892,0.00001958838,0.00000213375,0.00002481874,0.00001144678,0.0003578851,0.9983535,0.00009566074,0.0000407555,0.001024986],"study_design_scores_gemma":[0.000008062908,0.00005757145,0.0003284857,0.000001559353,0.000004747277,0.00002781949,0.00001072011,0.01008774,0.9879077,0.00002749032,0.00153076,0.0000074351],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690809,0.0007242663,0.02637078,0.0001491312,0.00006108348,0.00006400823,0.0001839227,0.0004685062,0.002897422],"genre_scores_gemma":[0.9797761,0.0002568057,0.01757698,0.00004934325,0.000006142187,0.00004807626,0.0001122995,0.00002505469,0.002149165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002012364,"threshold_uncertainty_score":0.004001319,"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."}}