{"id":"W2294456571","doi":"10.1109/jsac.2016.2525538","title":"Molecular MIMO: From Theory to Prototype","year":2016,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":221,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Ministry of Science ICT and Future Planning; National Research Foundation of Korea","keywords":"Molecular communication; Intersymbol interference; Computer science; MIMO; Transmitter; Channel (broadcasting); Channel state information; Interference (communication); Impulse response; Electronic engineering; Algorithm; Communications system; Detection theory; Telecommunications; Detector; Wireless; Mathematics","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":[0.0003529684,0.000166493,0.0001813605,0.0002675123,0.0002137784,0.00004358825,0.001434265,0.0001079412,0.0001108485],"category_scores_gemma":[0.000201514,0.0001328237,0.00006498171,0.0007067422,0.00004652261,0.00009229983,0.0001204295,0.0006046554,0.0001520303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001866754,"about_ca_system_score_gemma":0.00005925952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006954191,"about_ca_topic_score_gemma":0.00008327699,"domain_scores_codex":[0.998521,0.0005084131,0.0003989695,0.0001248877,0.0001867316,0.000259961],"domain_scores_gemma":[0.9972758,0.0005167254,0.0000653138,0.001792057,0.0001715338,0.0001785551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004334575,0.0008295776,0.002131538,0.00001268365,0.0005398171,0.00007284307,0.001888844,0.02012442,0.6674312,0.0210237,0.01031451,0.2751974],"study_design_scores_gemma":[0.006215327,0.0008398561,0.02744099,0.003511108,0.000153415,0.0002594303,0.0001632352,0.01829303,0.1833124,0.04746617,0.7096395,0.002705566],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5701095,0.004897738,0.391627,0.009890311,0.0006999164,0.001617753,0.00005363141,0.0007175243,0.02038667],"genre_scores_gemma":[0.9889923,0.001422938,0.008816132,0.000477531,0.00005230894,0.0001253009,0.00001006166,0.00004964909,0.00005378151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.699325,"threshold_uncertainty_score":0.5416392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01710389476387282,"score_gpt":0.2598129920274669,"score_spread":0.2427090972635941,"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."}}