{"id":"W2875864584","doi":"10.1002/advs.201800028","title":"Chemically Propelled Motors Navigate Chemical Patterns","year":2018,"lang":"en","type":"article","venue":"Advanced Science","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":64,"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":"Molecular motor; Non-equilibrium thermodynamics; Computer science; Chemical Dynamics; Brownian motion; Nanotechnology; Biological system; Variety (cybernetics); Collective behavior; Active matter; Biochemical engineering; Physics; Chemical physics; Materials science; Artificial intelligence; Engineering; Biology","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":[0.00005349486,0.0003071926,0.0001874241,0.0002571439,0.0003210745,0.0004921898,0.0005478502,0.0006451937,0.00269656],"category_scores_gemma":[0.0001801884,0.0001996545,0.0001496672,0.0001863094,0.0005628231,0.000602175,0.0004708495,0.0003915307,0.0009395499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003313491,"about_ca_system_score_gemma":0.0002682147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005470575,"about_ca_topic_score_gemma":0.0007319266,"domain_scores_codex":[0.9999379,0.000003772354,0.000002193334,0.00001794445,0.0000279977,0.00001026153],"domain_scores_gemma":[0.9999454,0.00001219511,0.00001475015,0.000005527867,0.00001019049,0.00001193237],"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":[0.0001017477,0.00006630594,0.0005831259,0.0002722702,0.00003059677,0.0002573985,0.0001361026,0.02192441,0.824049,0.08577158,0.00255068,0.06425673],"study_design_scores_gemma":[0.0002098115,0.0003509519,0.002201487,0.00009957663,0.00004533297,0.0006588832,0.000255029,0.2420198,0.505293,0.07131848,0.1774267,0.000120897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6154541,0.01246006,0.274756,0.002518235,0.000956135,0.0001966189,0.0003410627,0.001347231,0.09197046],"genre_scores_gemma":[0.9031926,0.005019846,0.04546089,0.0006192302,0.0001211035,0.0001301893,0.0002870901,0.00009491707,0.04507404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00269656,"threshold_uncertainty_score":0.009020925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005046186778388973,"score_gpt":0.2542091853079336,"score_spread":0.2491629985295446,"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."}}