{"id":"W4399380203","doi":"10.1007/978-981-96-0891-1_11","title":"SQIsign2D-West The Fast, the Small, and the Safer","year":2024,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Capital Commission","funders":"Agence Nationale de la Recherche","keywords":"SAFER; Business; Computer science; Computer security","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":[0.002861632,0.0008151843,0.0007914874,0.001287482,0.002172579,0.009373257,0.001237848,0.003153719,0.220173],"category_scores_gemma":[0.009457137,0.000346228,0.0006225764,0.002271774,0.001636315,0.004528266,0.004277335,0.002867767,0.04647961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002922278,"about_ca_system_score_gemma":0.004187327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02909565,"about_ca_topic_score_gemma":0.02691836,"domain_scores_codex":[0.9984616,0.0004552406,0.00004307011,0.0002538175,0.0005001276,0.0002861411],"domain_scores_gemma":[0.996356,0.0008819066,0.0001755506,0.0006768528,0.001060533,0.0008491576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000227165,0.00003233433,0.001829269,0.0001923865,0.00001994359,0.00005986818,0.0003068814,0.001774309,0.0001797,0.2418689,0.6929972,0.06051209],"study_design_scores_gemma":[0.00006691555,0.00002418739,0.001644787,0.0001508053,0.00001226364,0.00008936971,0.000510231,0.003518117,0.0004405611,0.13566,0.8578537,0.00002920142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01058027,0.003965727,0.03642772,0.09065532,0.01383622,0.0001045147,0.02943773,0.006690553,0.8083019],"genre_scores_gemma":[0.3099177,0.003919397,0.04889881,0.01516921,0.003543259,0.0003307329,0.03795158,0.01723236,0.5630369],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.220173,"threshold_uncertainty_score":0.7365521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02146755898312852,"score_gpt":0.2685169153820809,"score_spread":0.2470493563989524,"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."}}