{"id":"W4389548431","doi":"10.3390/computation11120253","title":"Mathematical Model for Chemical Reactions in Electrolytes Applied to Cytochrome c Oxidase: An Electro-Osmotic Approach","year":2023,"lang":"en","type":"article","venue":"Computation","topic":"Photoreceptor and optogenetics research","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; American Institute of Mathematics","keywords":"Dissipative system; Chemical energy; Cytochrome c oxidase; Chemistry; Electron transport chain; Electrolyte; Chemical physics; Physics; Thermodynamics; Statistical physics; Mitochondrion; Physical chemistry; Electrode","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":[0.0004706642,0.0007876322,0.0007113066,0.000806036,0.0007329708,0.001226314,0.001995229,0.00174424,0.00259696],"category_scores_gemma":[0.001010072,0.0003549095,0.001158399,0.0006647561,0.001449367,0.002022593,0.001369532,0.001490293,0.0008755361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001332913,"about_ca_system_score_gemma":0.001180392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002789546,"about_ca_topic_score_gemma":0.001836337,"domain_scores_codex":[0.9997274,0.00006338977,0.00001716988,0.00005516155,0.0001078246,0.00002898521],"domain_scores_gemma":[0.9997438,0.00009847811,0.00005106804,0.00002188848,0.00005885423,0.0000259778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001219212,0.00003251162,0.0001872642,0.00008991345,0.00001861557,0.000175311,0.0001011831,0.1881836,0.006216119,0.7995956,0.001357608,0.004030085],"study_design_scores_gemma":[0.00001528783,0.00002856399,0.0001347509,0.0000188198,0.00001244798,0.0001343989,0.000024873,0.8162821,0.0006632715,0.1737057,0.008956613,0.00002318837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01707348,0.002641671,0.9451717,0.00279948,0.0004636399,0.00008583639,0.0002631056,0.0001355103,0.03136561],"genre_scores_gemma":[0.7275179,0.006430316,0.1964684,0.001874026,0.0009207616,0.0008400249,0.0003811415,0.0002756219,0.0652918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002789546,"threshold_uncertainty_score":0.009670973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1031795933881526,"score_gpt":0.372055571916216,"score_spread":0.2688759785280633,"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."}}