{"id":"W4402975247","doi":"10.1016/j.nancom.2024.100546","title":"End-to-end synaptic molecular communication with astrocytic feedback and generic three-state receptors","year":2024,"lang":"en","type":"article","venue":"Nano Communication Networks","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of the Fraser Valley; Thompson Rivers University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neuroscience; End-to-end principle; Receptor; Directionality; Computer science; Cell biology; Biology; Chemistry; Communication; Psychology; Computer network; Biochemistry; Genetics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005407394,0.0003791464,0.0003307771,0.000248943,0.0002835456,0.0003294974,0.001098425,0.0002003153,0.0001060805],"category_scores_gemma":[0.00001362798,0.0003758544,0.00008257196,0.001124125,0.0002047463,0.0002451493,0.0004279913,0.0007983935,0.0000595329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001900968,"about_ca_system_score_gemma":0.00004861385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003130865,"about_ca_topic_score_gemma":0.0003237318,"domain_scores_codex":[0.9981035,0.0003215465,0.0005011193,0.0003486511,0.0002801226,0.0004450348],"domain_scores_gemma":[0.9966725,0.0003149289,0.0000761695,0.002584555,0.0001139973,0.0002378651],"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":[0.00008630918,0.00007666538,0.0002932433,0.0001586875,0.0007403417,0.00001385713,0.001052671,0.6213512,0.003089813,0.01577026,0.00497005,0.3523969],"study_design_scores_gemma":[0.0004822073,0.0001030525,0.0005510491,0.0005018233,0.0001214279,0.00005463832,0.00006618697,0.9249212,0.0005592752,0.0005272644,0.07144465,0.0006671874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.118252,0.1678799,0.6983574,0.003045885,0.0004047872,0.001553354,0.00001290301,0.002165444,0.008328288],"genre_scores_gemma":[0.9638618,0.009956549,0.02519407,0.0002813251,0.00002591441,0.0002127153,0.00020623,0.0001401699,0.000121248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8456097,"threshold_uncertainty_score":0.9998693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008161837146982834,"score_gpt":0.2056034791003134,"score_spread":0.1974416419533306,"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."}}