{"id":"W4313547553","doi":"10.1145/3551349.3559568","title":"Extraction and Management of Rationale","year":2022,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Structuring; Consistency (knowledge bases); Exploit; Information extraction; Process (computing); Coherence (philosophical gambling strategy); Software engineering; Natural language; Artificial intelligence; Data science; Knowledge management; Programming language; 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":[0.02157192,0.00179008,0.001550263,0.01998887,0.002398805,0.009176518,0.002969174,0.002039044,0.008726559],"category_scores_gemma":[0.086118,0.001586816,0.002224939,0.008408015,0.001545265,0.008425445,0.007199337,0.004401693,0.006309678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001888892,"about_ca_system_score_gemma":0.009001671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002539333,"about_ca_topic_score_gemma":0.003753682,"domain_scores_codex":[0.9728498,0.00887949,0.003713011,0.002582536,0.01130784,0.0006673407],"domain_scores_gemma":[0.9232891,0.03604,0.005871127,0.01540522,0.01841283,0.000981693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001864761,0.0002922263,0.003726222,0.001760688,0.0001293229,0.001054045,0.002666742,0.003534672,0.01316846,0.0711003,0.05514646,0.8472344],"study_design_scores_gemma":[0.0001786701,0.0002330986,0.005512134,0.002407753,0.000346546,0.001529153,0.002829166,0.08015841,0.04520071,0.2163427,0.644926,0.0003357439],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01135785,0.001780934,0.935622,0.003671475,0.0005548572,0.002792664,0.0101209,0.01170836,0.02239094],"genre_scores_gemma":[0.05059947,0.001455132,0.9162342,0.0004859406,0.0002385756,0.001170866,0.02051184,0.001495054,0.007808906],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02157192,"threshold_uncertainty_score":0.1140846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147495458409804,"score_gpt":0.2750518449066414,"score_spread":0.2535768903225434,"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."}}