{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001193448,0.0002785802,0.0003059766,0.0004986226,0.0005676248,0.001365482,0.0006215708,0.0008080759,0.004886194],"category_scores_gemma":[0.0005197604,0.0002831438,0.000267478,0.0002812007,0.001354296,0.0009675924,0.0009192826,0.0006467187,0.0006838372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005474414,"about_ca_system_score_gemma":0.0002294288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004785403,"about_ca_topic_score_gemma":0.0003513942,"domain_scores_codex":[0.9998437,0.00001940878,0.000008253603,0.00002722753,0.0000712202,0.0000300916],"domain_scores_gemma":[0.9998251,0.0000759359,0.0000145389,0.00002160995,0.00003483166,0.00002809717],"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":[0.00006166523,0.00003640404,0.00008750331,0.0001886355,0.00001357164,0.0004191776,0.000156459,0.01160022,0.09725765,0.8751068,0.002074249,0.01299773],"study_design_scores_gemma":[0.0001451364,0.0002428973,0.0004648482,0.00007090161,0.00002609543,0.0004247529,0.0001295557,0.1362389,0.08370283,0.7072631,0.07119691,0.00009411265],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4893201,0.007856027,0.1764923,0.003679006,0.003366331,0.0001737849,0.0003349821,0.001097398,0.3176801],"genre_scores_gemma":[0.9562649,0.002240923,0.01770701,0.0004792051,0.0002062801,0.00008696067,0.000106158,0.00008131432,0.02282718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004886194,"threshold_uncertainty_score":0.01634592,"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."}}