{"id":"W6930948696","doi":"10.5281/zenodo.15110015","title":"Post-quantum hybrid ECDHE-MLKEM Key Agreement for TLSv1.3","year":2025,"lang":"en","type":"standard","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Key (lock); Measure (data warehouse); Agreement; Core (optical fiber); Elliptic curve","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":[0.006006416,0.0009144307,0.0009486172,0.0008400768,0.001644146,0.003907313,0.001984579,0.002715338,0.02281197],"category_scores_gemma":[0.006222785,0.0006152786,0.0008689546,0.0007015414,0.002125043,0.003763747,0.003960714,0.003220353,0.01466521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003346324,"about_ca_system_score_gemma":0.004835558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002546001,"about_ca_topic_score_gemma":0.003027929,"domain_scores_codex":[0.9926949,0.001817701,0.0006427654,0.0005975803,0.003340943,0.0009061256],"domain_scores_gemma":[0.9957189,0.000944617,0.0002450298,0.001449319,0.001474028,0.0001682292],"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":[0.0005623737,0.0001663244,0.0002778239,0.0004292225,0.00003721027,0.000251197,0.0003100334,0.007776949,0.01352143,0.8619356,0.06304488,0.05168688],"study_design_scores_gemma":[0.0002714056,0.0003536884,0.0004401678,0.000449655,0.00006454895,0.0005271742,0.0002303499,0.05527081,0.03784123,0.2840799,0.6202885,0.0001825874],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0147102,0.0008471854,0.827422,0.002582577,0.00169812,0.002441149,0.003439184,0.00647488,0.1403847],"genre_scores_gemma":[0.3701489,0.0011433,0.4247147,0.003527219,0.0006330922,0.004131238,0.0104939,0.002730024,0.1824777],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02281197,"threshold_uncertainty_score":0.07631367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07567530279137297,"score_gpt":0.3804303020100106,"score_spread":0.3047549992186376,"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."}}