{"id":"W4299730092","doi":"10.1109/icc45855.2022.9838794","title":"Molecular Communication in Vacuum","year":2022,"lang":"en","type":"article","venue":"ICC 2022 - IEEE International Conference on Communications","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Molecular communication; Ion; Argon; Channel (broadcasting); Molecule; Mass spectrometry; Computer science; Megabit; Communications system; Hydrogen; Hydrogen molecule; Computational physics; Nitrogen; Materials science; Physics; Atomic physics; Chemical physics; Telecommunications; Transmitter; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004404256,0.0001818835,0.000171621,0.0003809343,0.0003219146,0.00007933401,0.003702342,0.00006118681,0.00136251],"category_scores_gemma":[0.00002276089,0.0002372684,0.00009012559,0.0005195159,0.00009368861,0.00013383,0.0007612733,0.001080082,0.00008751771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003569581,"about_ca_system_score_gemma":0.00005700382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005425026,"about_ca_topic_score_gemma":0.0001863156,"domain_scores_codex":[0.9982483,0.0004564588,0.0004489382,0.000199611,0.0004318681,0.0002148371],"domain_scores_gemma":[0.9969714,0.0001630334,0.00009481603,0.002604122,0.0001002691,0.00006641008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007284526,0.0009736237,0.0007429168,0.00001568544,0.000240251,0.00002206857,0.001766092,0.1507111,0.03885286,0.7759261,0.01317013,0.01750631],"study_design_scores_gemma":[0.001023576,0.00007170532,0.001043923,0.00007413054,0.00001687857,0.00002440278,0.0009569728,0.847891,0.00138295,0.01101925,0.1358993,0.0005959748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1492598,0.005136202,0.01019425,0.02996303,0.002148714,0.001430251,0.00033438,0.001124548,0.8004088],"genre_scores_gemma":[0.9938629,0.002588616,0.001383224,0.0006168255,0.0000140614,0.0006935852,0.0004939533,0.00004098728,0.0003058305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8446031,"threshold_uncertainty_score":0.9995504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05782475346500746,"score_gpt":0.3088915570029899,"score_spread":0.2510668035379825,"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."}}