{"id":"W7125587271","doi":"10.1109/cascon66301.2025.00125","title":"Framework for Source Code Compliance Analysis","year":2025,"lang":"","type":"article","venue":"","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Orthopaedic Research Foundation","keywords":"XACML; Backup; Source code; NIST; Pipeline (software); Code (set theory); Abstract syntax tree; Access control; Parsing","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":[0.008919628,0.002017289,0.001478394,0.007654616,0.001738791,0.007264037,0.006638585,0.003511746,0.0198219],"category_scores_gemma":[0.01960919,0.001962158,0.004318998,0.004505182,0.002526254,0.006304857,0.007122164,0.00515861,0.01457072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001865801,"about_ca_system_score_gemma":0.004678988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004609983,"about_ca_topic_score_gemma":0.004424799,"domain_scores_codex":[0.9922078,0.001888365,0.0008733851,0.001171296,0.00340078,0.0004583898],"domain_scores_gemma":[0.9879682,0.00391374,0.0008670532,0.004171645,0.00270885,0.0003704792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001139657,0.0002931211,0.002221391,0.000889614,0.0002386866,0.0009904709,0.0007373685,0.02533268,0.005744508,0.7353789,0.03124398,0.1968153],"study_design_scores_gemma":[0.00009575645,0.00007915763,0.000793473,0.0005656769,0.0001104863,0.0008611509,0.0002649854,0.2778049,0.008874835,0.4915029,0.2189292,0.0001174706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003462323,0.0001199102,0.9836357,0.0002597062,0.00004496305,0.0002973581,0.0006265957,0.01197921,0.002690234],"genre_scores_gemma":[0.02257306,0.0004661705,0.9652451,0.0002511992,0.0001395595,0.0008118242,0.00385842,0.00274913,0.003905676],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0198219,"threshold_uncertainty_score":0.06631082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0871659696137754,"score_gpt":0.3724129070477502,"score_spread":0.2852469374339748,"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."}}