{"id":"W3120740519","doi":"10.1103/physrevlett.127.018301","title":"Unified Approach to Gated Reactions on Networks","year":2021,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Diffusion and Search Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Tel Aviv University; Azrieli Foundation; Israel Science Foundation","keywords":"Gating; Kinetics; Chemical kinetics; Statistical physics; Computer science; Physics; Biophysics; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001577263,0.00111323,0.001375746,0.001847478,0.0009034097,0.002848101,0.002125863,0.00175375,0.005042741],"category_scores_gemma":[0.002840355,0.0006082603,0.001843309,0.0009845477,0.002771373,0.004425745,0.002539781,0.002824037,0.0007146768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002831129,"about_ca_system_score_gemma":0.001310473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002170974,"about_ca_topic_score_gemma":0.001962019,"domain_scores_codex":[0.9988733,0.0004366432,0.00005808788,0.0002243413,0.0002727057,0.0001348689],"domain_scores_gemma":[0.9987489,0.0006078067,0.0001071697,0.0002293483,0.0001855265,0.0001213038],"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":[0.00000423327,0.000006952306,0.00005215433,0.00002371145,0.000008075806,0.00003299446,0.00004142918,0.02729912,0.0003750227,0.9701331,0.0003148138,0.001708436],"study_design_scores_gemma":[0.000006655114,0.000009927124,0.00005895067,0.00001208529,0.000006151366,0.00002774755,0.00001440093,0.288331,0.0001486174,0.7078611,0.003512865,0.0000105078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01474701,0.001792797,0.9528641,0.001502611,0.0002193085,0.00007103647,0.000246638,0.0001581946,0.0283983],"genre_scores_gemma":[0.6361954,0.006164998,0.3174443,0.001000899,0.001242005,0.0009392189,0.0004365245,0.0003653346,0.03621131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005042741,"threshold_uncertainty_score":0.02054137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01950551935718551,"score_gpt":0.299071355633225,"score_spread":0.2795658362760395,"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."}}