{"id":"W2890915788","doi":"10.1021/acs.accounts.8b00239","title":"Synthetic Nanomotors: Working Together through Chemistry","year":2018,"lang":"en","type":"article","venue":"Accounts of Chemical Research","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Science Foundation of Zhejiang Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Chemistry; Nanotechnology; Biochemical engineering; Materials science; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005641285,0.0007451575,0.0006927856,0.0005452047,0.0009735452,0.001977254,0.001093516,0.001611436,0.004009874],"category_scores_gemma":[0.001189499,0.0007005479,0.0005075205,0.00031755,0.002351026,0.004141395,0.002031489,0.001392695,0.002276403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007264502,"about_ca_system_score_gemma":0.0004867936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00029418,"about_ca_topic_score_gemma":0.0003118184,"domain_scores_codex":[0.9993104,0.0001376016,0.00003751082,0.0001744695,0.0002431514,0.00009690626],"domain_scores_gemma":[0.9996538,0.0001205849,0.00007025276,0.00004033246,0.00004257292,0.00007237797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001289902,0.000264075,0.0008556968,0.002319541,0.0001579497,0.0007853982,0.0009876842,0.01483796,0.3992939,0.400815,0.01162125,0.1679326],"study_design_scores_gemma":[0.0001498957,0.0009392419,0.0008289153,0.0003587425,0.00008682016,0.001131162,0.0004100208,0.03822762,0.1884616,0.2340644,0.5351622,0.000179412],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1273534,0.1166829,0.5698165,0.01518531,0.006718606,0.001020052,0.0002546968,0.003060638,0.1599079],"genre_scores_gemma":[0.6517388,0.04435982,0.2570163,0.004943596,0.001449428,0.0008389846,0.0002922871,0.0006118108,0.03874889],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004009874,"threshold_uncertainty_score":0.01341438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05638750468289104,"score_gpt":0.3630962111707167,"score_spread":0.3067087064878257,"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."}}