{"id":"W4392560915","doi":"10.1002/advs.202305695","title":"Chemical Logic Gates on Active Colloids","year":2024,"lang":"en","type":"article","venue":"Advanced Science","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Logic gate; Computation; Computer science; Propulsion; Nanotechnology; Electronic circuit; Synthetic biology; Biological system; Materials science; Engineering; Algorithm; Electrical engineering; Biology; Aerospace 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006661178,0.00007659016,0.00006844779,0.00004500623,0.0001016628,0.00006020075,0.0001903287,0.00001118798,0.0001348178],"category_scores_gemma":[0.000009745657,0.00006018571,0.00003328307,0.0004799117,0.0002083569,0.0002020628,0.00004535408,0.0001037672,0.0001942862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003934824,"about_ca_system_score_gemma":0.0001027782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003059401,"about_ca_topic_score_gemma":8.446085e-8,"domain_scores_codex":[0.9992959,0.000003975387,0.00006708549,0.0002722179,0.0001401142,0.0002206631],"domain_scores_gemma":[0.9997072,0.0000589491,0.00001423007,0.0001259075,0.00003126838,0.0000624787],"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":[0.000007300534,0.00003237046,0.00009546914,0.000003552852,0.000004016031,0.000002041292,0.0001165156,0.0004195767,0.7886093,0.1683654,0.0001497732,0.04219477],"study_design_scores_gemma":[0.000109473,0.00003625823,0.0001325108,0.00004200097,0.000004682733,7.531131e-7,0.0001283406,0.001194531,0.9688255,0.02345945,0.005928954,0.0001375859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8961762,0.0001390636,0.0094035,0.0004983752,0.0008005739,0.0001977306,0.00003016753,0.0001237727,0.09263067],"genre_scores_gemma":[0.9972722,0.000002223913,0.001728232,0.00007365325,0.00007974162,0.000006448678,0.000002530415,0.000005140948,0.0008298587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1802162,"threshold_uncertainty_score":0.2497221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008296858475805694,"score_gpt":0.2862876260023016,"score_spread":0.2779907675264959,"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."}}