{"id":"W4401070793","doi":"10.1109/tcomm.2024.3435514","title":"Device-to-Device Communications With Selection-Based Cooperative RIS","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Selection (genetic algorithm); Computer science; Electronic engineering; Engineering; Artificial intelligence","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":[0.0003742779,0.000472621,0.000489721,0.000396957,0.0004739763,0.0004662777,0.0007390798,0.0003977612,0.0005286653],"category_scores_gemma":[0.000799837,0.0001691514,0.0003067729,0.0004858109,0.0005012851,0.0007087238,0.001268917,0.0003437469,0.0002667033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002299321,"about_ca_system_score_gemma":0.0003297469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005083183,"about_ca_topic_score_gemma":0.0009024505,"domain_scores_codex":[0.9994493,0.0001456095,0.00002736368,0.0001062569,0.0001893681,0.00008212013],"domain_scores_gemma":[0.9993263,0.0002359067,0.000106651,0.0001804486,0.0001225117,0.00002819595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007391748,0.0003104987,0.00677851,0.0004312448,0.0001820925,0.001348088,0.001296134,0.1856087,0.4613884,0.02918116,0.002299235,0.3104367],"study_design_scores_gemma":[0.00004618583,0.001239723,0.001817512,0.00002737187,0.00009462837,0.001293784,0.0003030899,0.8905594,0.09101487,0.005221232,0.00831832,0.00006382148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2884116,0.0009958092,0.6980639,0.0002295379,0.00009908712,0.0001091336,0.0000339738,0.0009754613,0.01108159],"genre_scores_gemma":[0.9708792,0.0001544958,0.02739353,0.00009024396,0.0000262674,0.00004315059,0.00002355684,0.000009916962,0.001379606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007390798,"threshold_uncertainty_score":0.001979351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02822287157899636,"score_gpt":0.2770088932361451,"score_spread":0.2487860216571487,"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."}}