{"id":"W2260122750","doi":"10.1109/tmbmc.2016.2537302","title":"Information Rates of ASK-Based Molecular Communication in Fluid Media","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Molecular Biological and Multi-Scale Communications","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Science and Engineering Research Council","keywords":"Ask price; Computer science; Business","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":[0.0003765444,0.0002138809,0.0002759351,0.0002610845,0.0001005486,0.0000306761,0.0007306971,0.0002433541,0.00001527983],"category_scores_gemma":[0.00004205582,0.0002052095,0.0001041877,0.0004988647,0.0003198923,0.0001518093,0.00002241701,0.0004258795,0.00002024677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005889709,"about_ca_system_score_gemma":0.00003842042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000464571,"about_ca_topic_score_gemma":0.0001424726,"domain_scores_codex":[0.9985353,0.0004148928,0.0005580008,0.0001267601,0.0001596936,0.0002053999],"domain_scores_gemma":[0.9978991,0.000226939,0.00008533613,0.001468341,0.0001605943,0.0001597268],"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":[0.0002871753,0.002422121,0.001254012,0.0001253776,0.0002292441,0.00000623488,0.003719316,0.6050977,0.2497628,0.002852886,0.0001733639,0.1340698],"study_design_scores_gemma":[0.004398414,0.000255271,0.002721754,0.0002421469,0.0000722133,0.00001158599,0.0009390096,0.8170251,0.168956,0.0006897949,0.00385649,0.0008322411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1130302,0.003077497,0.8816409,0.0006221217,0.00007133176,0.0004471858,0.00004925763,0.0001386323,0.0009228527],"genre_scores_gemma":[0.9521705,0.001856315,0.04543345,0.0002094293,0.000001721039,0.0001467833,0.0001617431,0.00001710469,0.000002936918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8391403,"threshold_uncertainty_score":0.8368201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04805933862976896,"score_gpt":0.2713428077271918,"score_spread":0.2232834690974229,"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."}}