{"id":"W4406978229","doi":"10.1016/j.heliyon.2025.e42267","title":"The collision between wireless and biology","year":2025,"lang":"en","type":"article","venue":"Heliyon","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Collision; Wireless; Computational biology; Biology; Computer science; Computer security; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.00007157002,0.00003455437,0.00004576143,0.00001835751,0.00008128193,0.0000142178,0.00008618741,0.00004482007,0.000001774681],"category_scores_gemma":[0.000006339077,0.00002542265,0.000009733731,0.0000841572,0.00002314168,0.000007893552,0.00003959888,0.00006899757,0.000005737031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007188346,"about_ca_system_score_gemma":0.000003349765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001305977,"about_ca_topic_score_gemma":0.000009358043,"domain_scores_codex":[0.9997911,0.0000254514,0.00006372735,0.00003963651,0.00001351138,0.00006654527],"domain_scores_gemma":[0.9997093,0.00009430957,0.000005393549,0.0001696341,0.000008306732,0.00001305109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001514804,0.00001161205,0.02434265,0.0002228435,0.0001326073,9.439455e-7,0.0001628877,0.0007336972,0.01734719,0.07820193,0.005768907,0.8730596],"study_design_scores_gemma":[0.0003632808,0.00001849818,0.02319529,0.0001815013,0.00001731822,8.094192e-7,0.00003450123,0.01290538,0.009026782,0.001087256,0.9530302,0.0001392198],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8355796,0.07741815,0.0506963,0.001492848,0.0004641763,0.0002479905,0.000004535974,0.0002818347,0.03381453],"genre_scores_gemma":[0.9877451,0.01187712,0.00009667224,0.00005453439,0.00001625129,0.000006397413,0.000004459634,0.00000405665,0.000195423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9472613,"threshold_uncertainty_score":0.1036705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386139486865679,"score_gpt":0.259414388691756,"score_spread":0.2455529938230993,"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."}}