{"id":"W7139916976","doi":"10.23919/cnc-usnc-ursi64444.2025.11420016","title":"Site-Specific Codebooks for Reconfigurable Intelligent Surfaces","year":2025,"lang":"","type":"article","venue":"","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Noise (video); Feature (linguistics); Key (lock); Artificial neural network","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002258974,0.0005981401,0.0008398422,0.0004972112,0.0004762833,0.001262095,0.002352807,0.0004362192,0.0004374448],"category_scores_gemma":[0.0001115562,0.0005847014,0.0004012986,0.0007282612,0.0001872769,0.000425855,0.0003070341,0.0003505276,0.0003951108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003595143,"about_ca_system_score_gemma":0.0004644063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002048436,"about_ca_topic_score_gemma":0.0001220289,"domain_scores_codex":[0.9951763,0.0003361721,0.001497492,0.001567291,0.0004107638,0.001011987],"domain_scores_gemma":[0.9954604,0.001160508,0.0003449308,0.002074138,0.0007552196,0.0002047997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006581409,0.0001627352,0.00008220239,0.0004424021,0.000109114,0.000007680364,0.001320482,0.000103155,0.0192844,0.5153337,0.3068604,0.1562279],"study_design_scores_gemma":[0.0002961446,0.0002926507,0.000009541554,0.0005441955,0.00002158427,0.000006245089,0.0001520654,0.0764019,0.4382284,0.02740749,0.4561003,0.0005395436],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004443072,0.00445675,0.7605263,0.001295937,0.002485793,0.002601997,0.00001921328,0.0007555946,0.2274141],"genre_scores_gemma":[0.5096008,0.001137617,0.1577334,0.001254787,0.0001727172,0.0005763426,0.000008612131,0.0000607298,0.329455],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6027929,"threshold_uncertainty_score":0.9997747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04727540588952095,"score_gpt":0.295535633606304,"score_spread":0.248260227716783,"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."}}