{"id":"W4295918112","doi":"10.1039/d2tc02458f","title":"Ion-imprinted MnO<sub>2</sub>/CoFe<sub>2</sub>O<sub>4</sub> Janus magnetic micromotors synthesized by a lotus pollen template for highly selective recognition and capture of Pb(<scp>ii</scp>) ions","year":2022,"lang":"en","type":"article","venue":"Journal of Materials Chemistry C","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; Data Center of Management Science, National Natural Science Foundation of China - Peking University; University of Jinan; Jinan Science and Technology Bureau","keywords":"Materials science; Janus; Lotus; Fabrication; Ion; Metal ions in aqueous solution; Chemical engineering; Nanotechnology; Metal; Metallurgy; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006901476,0.000560899,0.001076632,0.0001536541,0.0004606791,0.000127824,0.0003759217,0.000247163,0.00007689848],"category_scores_gemma":[0.0001273411,0.0005669845,0.0003831624,0.0002794301,0.0001337084,0.0001873788,0.0002356962,0.0005275702,0.000007651309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002005364,"about_ca_system_score_gemma":0.0003378648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002656273,"about_ca_topic_score_gemma":0.000001433731,"domain_scores_codex":[0.9968745,0.0002201249,0.001341949,0.0005043197,0.0004082759,0.0006509023],"domain_scores_gemma":[0.9968295,0.0003850636,0.001707013,0.0003012548,0.000479419,0.0002977343],"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":[0.0004408697,0.0004973376,0.00004881272,0.0002849376,0.0003940046,0.00001628323,0.0004732322,0.00002371077,0.9905671,0.000003698509,0.005780846,0.001469168],"study_design_scores_gemma":[0.002982716,0.0004130374,0.0001291555,0.0002526381,0.0004835253,0.0002179703,0.0006652478,0.00001115815,0.9932182,0.0007591521,0.0005243094,0.0003428478],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945017,0.0003907396,0.0003419596,0.0001428829,0.0005117393,0.0006160441,0.003363674,0.00003093277,0.0001003412],"genre_scores_gemma":[0.9981589,0.0001846544,0.0004171822,0.00004508749,0.0005924035,0.00009029492,0.0003533216,0.0001014679,0.00005663738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005256537,"threshold_uncertainty_score":0.9996781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007055353802732357,"score_gpt":0.1938022305957601,"score_spread":0.1867468767930277,"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."}}