{"id":"W4402265590","doi":"10.1109/mnano.2024.3436348","title":"Neuronal Communication Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Nanotechnology Magazine","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Ottawa","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001334972,0.0001277271,0.0001332134,0.0002142915,0.00005159255,0.00005410163,0.0004382268,0.0002553106,0.00003843893],"category_scores_gemma":[0.00001047625,0.0001310735,0.00004514644,0.0004484353,0.00008548047,0.00007203068,0.00005432496,0.0004926461,0.0008506384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004482846,"about_ca_system_score_gemma":0.00001248967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002390855,"about_ca_topic_score_gemma":0.000006302268,"domain_scores_codex":[0.99933,0.00004284177,0.0002097049,0.0001405514,0.00008689154,0.0001900426],"domain_scores_gemma":[0.9990699,0.00006104086,0.00001371397,0.0007999779,0.00002400531,0.00003135975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001493717,0.00007570333,0.00005608997,0.0003637135,0.0003114752,0.0001099727,0.0001497381,0.1102093,0.3594918,0.142583,0.2639809,0.1226534],"study_design_scores_gemma":[0.0001204513,0.00001962068,0.00003964454,0.00008183627,0.00001626494,0.00007475591,0.000004753156,0.4055716,0.006421901,0.0004137831,0.5870674,0.0001680298],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3652978,0.2090269,0.3148099,0.007457405,0.0096601,0.001313359,0.00004649166,0.02693887,0.06544925],"genre_scores_gemma":[0.9958558,0.002421329,0.0007649142,0.00005152953,0.000046773,0.00005702615,0.00002303562,0.00004522034,0.0007343407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6305581,"threshold_uncertainty_score":0.9999273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009579467644781207,"score_gpt":0.2187321673713019,"score_spread":0.2091526997265206,"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."}}