{"id":"W4409210805","doi":"10.3390/computers14040135","title":"Enhancing Cryptographic Solutions for Resource-Constrained RFID Assistive Devices: Implementing a Resource-Efficient Field Montgomery Multiplier","year":2025,"lang":"en","type":"article","venue":"Computers","topic":"RFID technology advancements","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"King Salman Center for Disability Research","keywords":"Multiplier (economics); Cryptography; Computer science; Resource (disambiguation); Cryptographic primitive; Field (mathematics); Embedded system; Cryptographic protocol; Distributed computing; Computer security; Computer network; Mathematics; Economics","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":[0.0003268069,0.000679363,0.000280832,0.0006442849,0.0003612679,0.0008187215,0.0009388475,0.000534974,0.003024933],"category_scores_gemma":[0.0007465336,0.0002042039,0.0003419138,0.0004547943,0.0002799738,0.001494741,0.0006007096,0.0005790758,0.001275279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004583638,"about_ca_system_score_gemma":0.0005237182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001876991,"about_ca_topic_score_gemma":0.000337948,"domain_scores_codex":[0.9997645,0.00004506183,0.00002290181,0.0000352207,0.00009507638,0.00003725635],"domain_scores_gemma":[0.9996734,0.00006547032,0.00009106079,0.00004904398,0.0001045769,0.00001645563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005927964,0.0001589285,0.001684168,0.001019061,0.000122442,0.001055405,0.0003966112,0.04269565,0.5145767,0.090471,0.007820695,0.3394065],"study_design_scores_gemma":[0.0002150129,0.002638998,0.001380092,0.0003971699,0.0002127222,0.004870547,0.000248785,0.2614195,0.516812,0.0179085,0.1937408,0.0001556958],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1196146,0.005463161,0.8440331,0.001150347,0.0004816484,0.000292155,0.0001459329,0.001085298,0.02773395],"genre_scores_gemma":[0.7253946,0.002278755,0.2606605,0.0004772852,0.0001838305,0.0002066983,0.000169669,0.00008838634,0.01054033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003024933,"threshold_uncertainty_score":0.01011944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01056824389337837,"score_gpt":0.2442380316989094,"score_spread":0.233669787805531,"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."}}