{"id":"W2487978485","doi":"10.1109/icc.2016.7511444","title":"Receiver design for diffusion-based molecular communication: Gaussian mixture modeling","year":2016,"lang":"en","type":"article","venue":"","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Molecular communication; Gaussian; Bit error rate; Algorithm; Computer science; Interference (communication); Keying; Decoding methods; Transmitter; Telecommunications; Physics","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":[0.0001781917,0.0001289679,0.0001162542,0.00005545889,0.00009292198,0.0000226294,0.0003826411,0.000112668,0.0001588476],"category_scores_gemma":[0.00002833639,0.0000932519,0.00007993942,0.0001050192,0.00002174932,0.00005355433,0.0000336258,0.00008024566,0.00002391245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004070378,"about_ca_system_score_gemma":0.00001735841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002814876,"about_ca_topic_score_gemma":0.0000046043,"domain_scores_codex":[0.9993462,0.00007728687,0.0001836505,0.0001191677,0.00009294468,0.000180737],"domain_scores_gemma":[0.9987962,0.0001689339,0.00002033101,0.0008765496,0.00006367569,0.00007433973],"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":[0.00006606442,0.00007130262,0.00003040223,0.00004668886,0.0000880462,0.000002384587,0.0001001477,0.8130646,0.1234912,0.01180294,0.01253308,0.03870307],"study_design_scores_gemma":[0.0006462265,0.0000139932,0.000004726517,0.00007568685,0.00001214885,7.936456e-7,0.00000642245,0.9753604,0.01298536,0.001081401,0.009629915,0.0001829525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001159467,0.0009935249,0.9913573,0.001500459,0.00004870951,0.0003241247,0.000002974167,0.0003060678,0.004307327],"genre_scores_gemma":[0.8594679,0.0002608998,0.1395041,0.0003453551,0.00001391869,0.0001028641,0.00001730836,0.00004030665,0.0002473053],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8583084,"threshold_uncertainty_score":0.3802702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941582015195385,"score_gpt":0.2239882661353319,"score_spread":0.2045724459833781,"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."}}