{"id":"W4407550748","doi":"10.1007/978-3-031-81599-7_9","title":"Energy-Efficient Transmitter Creation in Molecular Communication","year":2025,"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":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Transmitter; Molecular communication; Energy (signal processing); Computer science; Physics; Telecommunications; Quantum mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002074669,0.0003411022,0.000535203,0.0002943458,0.0006242141,0.001103966,0.0007800094,0.0009090971,0.007596155],"category_scores_gemma":[0.0003860507,0.0003785928,0.0002066541,0.0004842817,0.001051129,0.00173743,0.0007294313,0.001149971,0.001597212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004788889,"about_ca_system_score_gemma":0.0001601135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000569357,"about_ca_topic_score_gemma":0.0001009912,"domain_scores_codex":[0.9999022,0.00001849873,0.00000351324,0.00001804341,0.00003708331,0.00002072388],"domain_scores_gemma":[0.9998662,0.00008529127,0.00001059698,0.00002203671,0.000008859289,0.000007031378],"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":[0.00004794351,0.00004777596,0.00005286602,0.0003036146,0.000008087568,0.00008575031,0.0001396471,0.006547711,0.03741917,0.9292757,0.002204449,0.02386722],"study_design_scores_gemma":[0.00005901277,0.0002841425,0.0004970455,0.0001900441,0.00003176752,0.0006433804,0.0001642375,0.1272729,0.1554427,0.6154633,0.09985778,0.00009373725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1683826,0.03323879,0.3701643,0.002476597,0.002916978,0.0001892152,0.000210326,0.0005880855,0.4218332],"genre_scores_gemma":[0.7927243,0.0135744,0.06610865,0.0005069354,0.0005338963,0.0002239826,0.0001463458,0.0003140608,0.1258675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007596155,"threshold_uncertainty_score":0.02541173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008845516461628958,"score_gpt":0.2105235293670638,"score_spread":0.2016780129054349,"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."}}