{"id":"W4400646242","doi":"10.1109/tmbmc.2024.3427660","title":"Designing a Light-Based Communication System With a Biomolecular Receiver","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Molecular Biological and Multi-Scale Communications","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Communications system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003740405,0.0004711522,0.0005339788,0.0003195669,0.0007701024,0.0008126535,0.000908823,0.001175217,0.001577602],"category_scores_gemma":[0.0004131382,0.000391058,0.0003636776,0.0002436483,0.0004949069,0.0012035,0.0006107591,0.0005765966,0.001483458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004098772,"about_ca_system_score_gemma":0.0005132938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003250898,"about_ca_topic_score_gemma":0.0003237928,"domain_scores_codex":[0.9997385,0.00005213622,0.00001742884,0.00007301821,0.00008326196,0.00003557945],"domain_scores_gemma":[0.9998069,0.00005137149,0.00003324919,0.00002110607,0.00005837174,0.00002900118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001415592,0.0001193178,0.0004016611,0.0003131979,0.00003945512,0.0001815268,0.0001282977,0.01108651,0.9517999,0.01151434,0.0004732224,0.0238011],"study_design_scores_gemma":[0.0001711265,0.001505651,0.000954176,0.0000746673,0.0001410495,0.0007378512,0.00009769428,0.170395,0.7895697,0.004328267,0.03190195,0.0001227703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1289718,0.001049876,0.8592226,0.0005636974,0.0001955461,0.0005757436,0.00008780754,0.001312777,0.008020215],"genre_scores_gemma":[0.4151047,0.0008897824,0.5757071,0.0003478324,0.0001213076,0.0005288103,0.00009581186,0.0001306087,0.00707394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001577602,"threshold_uncertainty_score":0.005277634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02535058471865967,"score_gpt":0.2408978628859397,"score_spread":0.2155472781672801,"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."}}