{"id":"W3008854288","doi":"10.1007/978-3-030-34238-8_4","title":"Library Function Identification","year":2020,"lang":"en","type":"book-chapter","venue":"Advances in information security","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Reverse engineering; Identification (biology); Computer science; Function (biology); Malware; Software; Source code; clone (Java method); Open source; Software engineering; Vulnerability (computing); Software quality; Automation; Data mining; Operating system; Computer security; Engineering; Software development","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001382496,0.0002765064,0.0002617392,0.000450888,0.00008332163,0.0002261205,0.0007200092,0.0002610085,0.00009516687],"category_scores_gemma":[0.00005560883,0.0003163015,0.0000913181,0.0002311162,0.00005309203,0.02255099,0.0003061392,0.0005629413,0.0005622903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001078278,"about_ca_system_score_gemma":0.0000679708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.77177e-7,"about_ca_topic_score_gemma":0.000003447635,"domain_scores_codex":[0.9982288,0.00001952371,0.0008408899,0.0003399398,0.0004075529,0.0001633276],"domain_scores_gemma":[0.9984183,0.00006070967,0.0007399438,0.0005955792,0.0001084647,0.00007703139],"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":[0.0000154385,0.000004203173,0.000003407927,0.00009185189,0.000004115743,0.000001897032,0.0002581926,0.00006244729,0.000002324408,0.8530697,0.001375563,0.1451109],"study_design_scores_gemma":[0.00008446613,0.00003905825,0.00001593519,0.00004581501,0.000002742855,0.00000394402,0.00000749007,0.001455923,0.0004167183,0.4176225,0.5801031,0.0002023317],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[7.13282e-7,0.0006291983,0.6042598,0.00030882,0.0006257891,0.0003442965,0.00002627638,0.001073304,0.3927318],"genre_scores_gemma":[0.3787707,0.07817572,0.3382072,0.03464432,0.003278264,0.002097083,0.006778575,0.0006570477,0.1573911],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5787275,"threshold_uncertainty_score":0.9999289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005911440549345,"score_gpt":0.2206074930403574,"score_spread":0.2146960524910124,"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."}}