{"id":"W2593595080","doi":"","title":"Efficient and secure elliptic curve point multiplication using double-base chains","year":2005,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Side channel attack; Atomicity; Multiplication (music); Elliptic curve point multiplication; Elliptic curve cryptography; Algorithm; Point (geometry); Base (topology); Simple (philosophy); Channel (broadcasting); Elliptic curve; Arithmetic; Cryptography; Mathematics; Public-key cryptography; Telecommunications; Combinatorics; Geometry; Mathematical analysis","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":[0.001452317,0.001169962,0.001540511,0.001002181,0.001641064,0.003428868,0.00104107,0.001400992,0.01342515],"category_scores_gemma":[0.004642168,0.0007208264,0.0007269006,0.001522959,0.001662159,0.005115421,0.005597259,0.002553688,0.007570259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001166889,"about_ca_system_score_gemma":0.002020471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005197748,"about_ca_topic_score_gemma":0.0005233807,"domain_scores_codex":[0.9963011,0.0005820193,0.0002036676,0.0005058009,0.001565067,0.0008424022],"domain_scores_gemma":[0.9967335,0.0008346923,0.0003098747,0.001489226,0.0004479408,0.0001847231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004417422,0.0005645038,0.00191352,0.0004833934,0.0001851663,0.0007178746,0.0009693447,0.03163644,0.1005282,0.391173,0.01449456,0.4529166],"study_design_scores_gemma":[0.00108142,0.001284975,0.001269588,0.0003812635,0.0002198363,0.001465203,0.000627731,0.2482845,0.2329223,0.4462227,0.06599852,0.0002419627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.176569,0.001332113,0.775058,0.001254856,0.0003173987,0.0004369772,0.0004089329,0.004073959,0.04054872],"genre_scores_gemma":[0.8698071,0.0006333182,0.1040248,0.0001970266,0.0002133035,0.0002737866,0.0005135011,0.000241791,0.02409541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01342515,"threshold_uncertainty_score":0.04491156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04857876860920128,"score_gpt":0.2636398812053359,"score_spread":0.2150611125961346,"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."}}