{"id":"W1838805694","doi":"10.1007/978-3-319-06944-9_13","title":"Improving Diffusion-Based Molecular Communication with Unanchored Enzymes","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Molecular communication; Enzyme; Expression (computer science); Molecular dynamics; Upper and lower bounds; Intersymbol interference","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002733561,0.0003141144,0.0003620663,0.0001791174,0.0006044411,0.0001285604,0.001408619,0.0002396014,0.000001599708],"category_scores_gemma":[0.00002569359,0.000253402,0.0001578913,0.0001803081,0.0004046968,0.00009863463,0.0003260836,0.0004851427,4.401782e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006386271,"about_ca_system_score_gemma":0.00008672654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001969715,"about_ca_topic_score_gemma":0.00007647562,"domain_scores_codex":[0.9989085,0.0000177025,0.0005310159,0.0001136489,0.0002231832,0.0002059707],"domain_scores_gemma":[0.9982247,0.0002660429,0.0003207976,0.0009971178,0.0001417363,0.00004964807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000202579,0.000005517948,0.000001585826,0.0002076785,0.00005897885,3.995257e-8,0.0002061178,0.9561177,0.00004978487,0.01900804,0.00004107745,0.02430145],"study_design_scores_gemma":[0.0002915441,0.00004176676,0.00001053892,0.0003657297,0.00006980173,0.00000365908,0.000001962981,0.9731829,0.0004451462,0.0001792523,0.02508423,0.0003234385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002093566,0.002221999,0.9938126,0.0003090123,0.0001446782,0.0005174488,0.00002752163,0.000130562,0.00262678],"genre_scores_gemma":[0.09715703,0.0002786629,0.9020461,0.0001950161,0.00005131244,0.00004816104,0.0001376919,0.00005305257,0.00003296112],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09694767,"threshold_uncertainty_score":0.9999918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007900603019321762,"score_gpt":0.1914681993637381,"score_spread":0.1835675963444164,"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."}}