{"id":"W2741596692","doi":"10.1109/cwit.2017.7994832","title":"Nonnegative code division multiple access techniques in molecular communication","year":2017,"lang":"en","type":"article","venue":"","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Code division multiple access; Computer science; Channel access method; Division (mathematics); Scheme (mathematics); Multi-frequency time division multiple access; Constraint (computer-aided design); Transmission (telecommunications); Code (set theory); Theoretical computer science; Computer network; Algorithm; Telecommunications; Orthogonal frequency-division multiplexing; Wireless; MIMO-OFDM; Mathematics; Arithmetic","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":[0.0005652867,0.0004173422,0.0002974481,0.0004515553,0.0003860836,0.0007886242,0.0005416207,0.000771136,0.001188724],"category_scores_gemma":[0.001337496,0.0001841459,0.0002616941,0.0006000755,0.001229692,0.001054551,0.0006198703,0.001177831,0.0002732263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005295136,"about_ca_system_score_gemma":0.0003624047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004661521,"about_ca_topic_score_gemma":0.0003742246,"domain_scores_codex":[0.9995875,0.0001738959,0.00001333147,0.00004367148,0.000152427,0.00002926461],"domain_scores_gemma":[0.9994621,0.0003190439,0.00006012677,0.00007675625,0.00006602979,0.00001592319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002752181,0.00002949467,0.0001289539,0.0001314834,0.000009284301,0.0001217012,0.000087402,0.04466873,0.02390331,0.8999124,0.00100074,0.02997899],"study_design_scores_gemma":[0.00001727941,0.00008578301,0.0002046742,0.00006110282,0.00001129583,0.0002618604,0.00002802252,0.6295257,0.01239529,0.3421875,0.01516683,0.00005472496],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02756903,0.005834731,0.9471729,0.0008552567,0.000270873,0.000053645,0.00003581938,0.000134944,0.0180728],"genre_scores_gemma":[0.6863968,0.006473999,0.2990457,0.0004170206,0.0003402435,0.0001357424,0.00004486687,0.00006009728,0.007085552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001188724,"threshold_uncertainty_score":0.003976703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02383855366475885,"score_gpt":0.3019740000866447,"score_spread":0.2781354464218858,"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."}}