{"id":"W7000174023","doi":"","title":"Efficient Resource Allocation and User Management in XL-RIS-assisted Vision-aided mmWave Networks","year":2025,"lang":"en","type":"article","venue":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Resource management (computing); Resource allocation; Scheme (mathematics); Frequency allocation; Resource (disambiguation)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003222146,0.0003731142,0.0004320147,0.0002319769,0.0004804836,0.000973081,0.0008901458,0.0004028105,0.002747181],"category_scores_gemma":[0.0007734825,0.0002125079,0.0001626269,0.0003738992,0.0003159585,0.0009397223,0.0009667773,0.0003961178,0.0005157406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006644974,"about_ca_system_score_gemma":0.0007034785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002890669,"about_ca_topic_score_gemma":0.005617463,"domain_scores_codex":[0.9996125,0.0001052048,0.00001298176,0.00005936576,0.00007981317,0.0001301129],"domain_scores_gemma":[0.9997389,0.0001071081,0.00002578608,0.00003369804,0.00006883283,0.00002567612],"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":[0.001040536,0.0002519501,0.001978976,0.0001176474,0.00005838191,0.0003070919,0.0002545577,0.6125671,0.0614219,0.01508545,0.005982634,0.3009338],"study_design_scores_gemma":[0.000007017954,0.0000685933,0.0003064324,0.000003379866,0.000007059848,0.00004165516,0.00005042659,0.9912863,0.005791533,0.001633517,0.0007962178,0.000007861962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1844315,0.0007592408,0.8005135,0.0003802005,0.000101167,0.00008110672,0.000139135,0.00125335,0.01234087],"genre_scores_gemma":[0.9617146,0.0001215414,0.03377939,0.00006837367,0.00002369828,0.00003631956,0.00006056439,0.00002942817,0.004166085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002890669,"threshold_uncertainty_score":0.009190202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007743683657633823,"score_gpt":0.2271840065557212,"score_spread":0.2194403228980873,"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."}}