{"id":"W4401871080","doi":"10.1109/twc.2024.3440888","title":"Molecular Absorption-Aware User Assignment, Spectrum, and Power Allocation in Dense THz Networks With Multi-Connectivity","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Discovery Eye Foundation","keywords":"Computer science; Terahertz radiation; Frequency allocation; Absorption (acoustics); Wireless; Absorption spectroscopy; Computer network; Telecommunications; Optoelectronics; Physics; Optics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008528946,0.001014121,0.00112924,0.0004182437,0.0005048501,0.001286597,0.001175037,0.0009974383,0.001457059],"category_scores_gemma":[0.001896056,0.0006289191,0.0004702624,0.000940093,0.0008661053,0.00171637,0.001216848,0.0009736801,0.0002481397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186929,"about_ca_system_score_gemma":0.001034956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003582579,"about_ca_topic_score_gemma":0.004222628,"domain_scores_codex":[0.999437,0.0002016724,0.00001452081,0.0001140723,0.0001249519,0.0001076329],"domain_scores_gemma":[0.9993644,0.0004038526,0.00008278141,0.00004919932,0.00006409627,0.00003567468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000366624,0.00002580885,0.0002354521,0.00005071271,0.00001383297,0.00006452445,0.0000470553,0.9688209,0.001976588,0.01208436,0.0004760878,0.01616809],"study_design_scores_gemma":[0.000003889446,0.00001311466,0.00004567622,0.000003006488,0.000003936048,0.00001644518,0.00001418687,0.9956912,0.0003607604,0.003602081,0.0002427148,0.00000304456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01548512,0.0003012637,0.9818369,0.0001535613,0.00001605863,0.00002912757,0.0000366936,0.0001053267,0.002035858],"genre_scores_gemma":[0.7754493,0.0008369829,0.2193725,0.0001507264,0.00006313792,0.0001969004,0.000114079,0.00008261945,0.003733787],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003582579,"threshold_uncertainty_score":0.008611739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01346037924003994,"score_gpt":0.2365572889079697,"score_spread":0.2230969096679298,"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."}}