{"id":"W2963884830","doi":"10.1109/mwc.2017.1600308","title":"SMIET: Simultaneous Molecular Information and Energy Transfer","year":2017,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Molecular communication; Computer science; Energy (signal processing); Energy harvesting; Transmission (telecommunications); Telecommunications; Communications system; Relay; Information transfer; Point (geometry); Efficient energy use; Electrical engineering; Physics; Power (physics); Transmitter","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":[0.0002972041,0.0003230753,0.0003754345,0.0003879185,0.0005164911,0.0007819619,0.0008670271,0.0007194658,0.005598665],"category_scores_gemma":[0.0009183042,0.0002204878,0.0002144808,0.0004795253,0.001160481,0.00187657,0.001911443,0.0008621912,0.001349385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002978574,"about_ca_system_score_gemma":0.000233221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001404054,"about_ca_topic_score_gemma":0.0001571894,"domain_scores_codex":[0.9997614,0.00003441435,0.00001036874,0.00005268522,0.0001044151,0.00003672287],"domain_scores_gemma":[0.9997082,0.0001362584,0.00004664217,0.00004800931,0.00003433064,0.00002650797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005615161,0.0002010998,0.0009070754,0.0007775408,0.00007209565,0.001207202,0.000451187,0.02807933,0.4371018,0.3330464,0.01566138,0.1819334],"study_design_scores_gemma":[0.0001195354,0.0006214904,0.001113709,0.0001005979,0.00005879421,0.001392807,0.000233831,0.3931347,0.3117794,0.1790719,0.1122317,0.0001414397],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1994082,0.006631024,0.6816079,0.004516884,0.002025666,0.0003365716,0.0007600557,0.00445143,0.1002622],"genre_scores_gemma":[0.9326569,0.001988959,0.04482895,0.0005857402,0.0002274025,0.0001675983,0.0002521028,0.0001161897,0.01917625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005598665,"threshold_uncertainty_score":0.01872939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0112259767176458,"score_gpt":0.2255711123917875,"score_spread":0.2143451356741417,"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."}}