{"id":"W4282589692","doi":"10.3390/mi13060914","title":"Optimizing Efficiency and Motility of a Polyvalent Molecular Motor","year":2022,"lang":"en","type":"article","venue":"Micromachines","topic":"ATP Synthase and ATPases Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Substrate (aquarium); Molecular motor; Efficient energy use; Function (biology); Biological system; Control theory (sociology); Computer science; Materials science; Chemical physics; Chemistry; Nanotechnology; Biochemical engineering; Engineering; Biology; Artificial intelligence","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":[0.0001665138,0.0000864059,0.0001032319,0.00004016748,0.0001190023,0.000007451931,0.0001550566,0.00002588631,0.00005670401],"category_scores_gemma":[0.00003510978,0.00008248232,0.0000646114,0.00005677875,0.00007863416,0.000001382963,0.0004187326,0.00008497479,5.915675e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007070568,"about_ca_system_score_gemma":0.00003623228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007711365,"about_ca_topic_score_gemma":0.000002755057,"domain_scores_codex":[0.9992729,0.00008361247,0.000125771,0.0002334784,0.0001287944,0.0001553869],"domain_scores_gemma":[0.9996675,0.000008831886,0.0000392372,0.0002137932,0.00002431245,0.00004637082],"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":[0.0000518454,0.00009329084,0.002706009,0.00002339669,0.00002031297,0.000007228268,0.00005930313,0.0001275155,0.9957206,0.0000142008,0.00006082997,0.001115502],"study_design_scores_gemma":[0.0004554041,0.000515045,0.002936177,0.000004969185,0.00001309924,0.00002106008,0.0001399089,0.001056219,0.9908921,0.00002990076,0.003800757,0.0001353721],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939025,0.004439322,0.001096342,0.00009340565,0.0000316283,0.0001234938,0.00008704775,0.000006060277,0.0002201855],"genre_scores_gemma":[0.998919,0.00004910824,0.0006612968,0.00006551803,0.00002177749,0.00001758732,0.00003571555,0.00001173501,0.0002183336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005016413,"threshold_uncertainty_score":0.3363532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007196660797138067,"score_gpt":0.2638788723326887,"score_spread":0.2566822115355507,"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."}}