{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003068051,0.0002476707,0.0003315352,0.0003255506,0.000224938,0.0005808256,0.0003648985,0.0007443073,0.00100141],"category_scores_gemma":[0.001088418,0.0002194406,0.000222681,0.0003519551,0.000493103,0.0005067033,0.000208504,0.0003190247,0.0001565317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007130411,"about_ca_system_score_gemma":0.0005260828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001785754,"about_ca_topic_score_gemma":0.001947784,"domain_scores_codex":[0.9998838,0.00001722464,0.000005968457,0.0000223676,0.00003301542,0.00003768747],"domain_scores_gemma":[0.999668,0.0001731652,0.00006496742,0.0000383314,0.00003684045,0.0000187487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008175204,0.00008582056,0.002394544,0.0001203797,0.00003095459,0.00008142688,0.00004278677,0.9408213,0.04614419,0.00602911,0.0002213864,0.003946404],"study_design_scores_gemma":[0.00001302501,0.00008563435,0.0009662426,0.00000833174,0.00001247923,0.00001855061,0.00002049429,0.9781926,0.01973071,0.0006059838,0.0003326826,0.00001328701],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715831,0.0004315118,0.0234206,0.0001786348,0.00001758309,0.00001743957,0.0000897811,0.00009223271,0.004169039],"genre_scores_gemma":[0.9950216,0.0001585666,0.004187958,0.00001551558,0.000001479223,0.00001756284,0.00003609903,0.00001545967,0.000545868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001785754,"threshold_uncertainty_score":0.005173445,"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."}}