{"id":"W4385453043","doi":"10.1109/tmbmc.2023.3298429","title":"High-Speed Molecular Communication in Vacuum","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Molecular Biological and Multi-Scale Communications","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Ion; Molecular communication; Gigabit; Channel (broadcasting); Argon; Molecule; Computational physics; Communications system; Filter (signal processing); Mass spectrometry; Physics; Molecular dynamics; Computer science; Materials science; Atomic physics; Chemical physics; Optics; Telecommunications; Quantum mechanics","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":[0.0002765204,0.0002073543,0.0003117539,0.0001757959,0.0004561659,0.0007078588,0.0003079626,0.0005456645,0.001127852],"category_scores_gemma":[0.000860182,0.0001454133,0.0001309416,0.0002537126,0.0006560317,0.001109714,0.0005110959,0.0004149434,0.0003374266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006144287,"about_ca_system_score_gemma":0.0003919624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007117684,"about_ca_topic_score_gemma":0.0003070034,"domain_scores_codex":[0.9996625,0.00008114596,0.000007823302,0.00005142622,0.0001301374,0.00006688369],"domain_scores_gemma":[0.9996496,0.000196928,0.00004663473,0.00003682397,0.00005145627,0.00001853081],"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":[0.0003207047,0.0001022583,0.001608884,0.0003013969,0.00003752636,0.0003483118,0.0002912571,0.2136908,0.2807042,0.4595126,0.003024951,0.04005706],"study_design_scores_gemma":[0.00004635005,0.0002970481,0.0007534022,0.0000351572,0.00001501609,0.0003221289,0.0001396279,0.8056726,0.1075021,0.07040397,0.01475016,0.00006233133],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4994572,0.00241544,0.4589379,0.0009389082,0.0001648673,0.00003555889,0.0001470006,0.0007673189,0.03713581],"genre_scores_gemma":[0.9805643,0.0004569395,0.01704982,0.00004922026,0.00002331262,0.0000223345,0.0000334252,0.00001939471,0.001781328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001127852,"threshold_uncertainty_score":0.00445807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03625011151611184,"score_gpt":0.2644879153999462,"score_spread":0.2282378038838344,"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."}}