{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002528939,0.0002101907,0.0003887698,0.0001902302,0.0005435388,0.0008524724,0.0003658018,0.0005892262,0.002493777],"category_scores_gemma":[0.000922,0.0001412774,0.0001669088,0.0002137395,0.0006306268,0.001365338,0.0006282476,0.0004722331,0.000486644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005824224,"about_ca_system_score_gemma":0.000433263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006915181,"about_ca_topic_score_gemma":0.000273876,"domain_scores_codex":[0.9996562,0.00008339449,0.000008460002,0.00005944518,0.0001134882,0.00007901778],"domain_scores_gemma":[0.9996499,0.0001902558,0.00003937719,0.00004674396,0.00005417097,0.00001951582],"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":[0.0002502089,0.00008569931,0.001122977,0.0003777879,0.00003715204,0.0002891991,0.0002298602,0.10736,0.1287568,0.7225553,0.004727249,0.03420786],"study_design_scores_gemma":[0.00007311915,0.0004940229,0.0008774567,0.00007387671,0.00003177889,0.0005938582,0.0002117632,0.7304,0.07447894,0.1518946,0.04077796,0.00009268177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4534951,0.004661089,0.4504582,0.001761419,0.0004770199,0.00007112922,0.0003130751,0.0008676659,0.08789528],"genre_scores_gemma":[0.9752694,0.001049059,0.01885052,0.0001460689,0.00005970087,0.00004367359,0.00007660599,0.00003689235,0.004467979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002493777,"threshold_uncertainty_score":0.008342505,"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."}}