{"id":"W4312844600","doi":"10.1007/978-3-031-11686-5_3","title":"Semantic History Slicing","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Slicing; Program slicing; Computer science; Feature (linguistics); Dependency (UML); Key (lock); Semantics (computer science); Programming language; Information retrieval; Artificial intelligence; World Wide Web; 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":[0.0004449738,0.0007663217,0.0004508832,0.001831123,0.0009395329,0.001990624,0.0009215574,0.0004716069,0.03873193],"category_scores_gemma":[0.001429707,0.0005267775,0.0006127628,0.001944385,0.001928813,0.005163475,0.001555423,0.001888174,0.009391206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001300207,"about_ca_system_score_gemma":0.001396212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003393123,"about_ca_topic_score_gemma":0.005802937,"domain_scores_codex":[0.9996096,0.00004333313,0.00002118345,0.00009001535,0.0001989761,0.00003677908],"domain_scores_gemma":[0.9993609,0.0001764119,0.00002051657,0.0002783249,0.0001371554,0.00002684177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003457971,0.00001525227,0.0001504981,0.0001452647,0.000008451194,0.00008769143,0.0003771109,0.002058639,0.002263323,0.6624478,0.05241817,0.2799933],"study_design_scores_gemma":[0.000007303424,0.00001195736,0.00016223,0.0001314959,0.00002088831,0.0002351598,0.0001489862,0.006385905,0.005686099,0.4397267,0.5474682,0.00001511858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.004448064,0.003203742,0.3731323,0.001074688,0.0007116389,0.00008330611,0.0007631863,0.004754199,0.6118288],"genre_scores_gemma":[0.1653463,0.009127771,0.2845783,0.0009880869,0.0008872553,0.0001377733,0.005418611,0.005684144,0.5278318],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03873193,"threshold_uncertainty_score":0.1295712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0298441271368807,"score_gpt":0.2280155205345435,"score_spread":0.1981713933976628,"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."}}