{"id":"W2135810082","doi":"10.1109/icsm.2005.95","title":"Towards experience-based mentoring of evolutionary development","year":2005,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Sequence diagram; Unified Modeling Language; Software evolution; Class diagram; Software engineering; Object-oriented design; Object-oriented programming; Sequence (biology); Software development; Software system; Software design; Set (abstract data type); Heuristic; Software; Programming language; Artificial intelligence; Software construction","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":[],"consensus_categories":[],"category_scores_codex":[0.0001338111,0.00006230736,0.00006661098,0.0001101817,0.00003633468,0.00001950958,0.0005465316,0.00002118107,0.00007892071],"category_scores_gemma":[0.00009531155,0.00005695141,0.00002125356,0.0002713597,0.00001918782,0.0002125746,0.0001603627,0.000046171,0.00003410937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001543229,"about_ca_system_score_gemma":0.0002215099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001321999,"about_ca_topic_score_gemma":0.00000100035,"domain_scores_codex":[0.9990395,0.000009314268,0.0001474474,0.0001685346,0.0004294432,0.0002058059],"domain_scores_gemma":[0.999487,0.00008553091,0.00001717454,0.000272923,0.00006579342,0.00007156964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001444505,0.0005077593,0.07643583,0.0001091579,0.00005365568,0.00001762081,0.01457657,0.03155306,0.009071024,0.03545948,0.003976659,0.8282247],"study_design_scores_gemma":[0.0005656516,0.00006837869,0.1923627,0.00005437852,0.000001017801,0.000005734238,0.00006348626,0.1601893,0.5555348,0.00009410073,0.0906923,0.0003680429],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1502355,0.0001023593,0.8472344,0.0002770364,0.0001236049,0.00006825626,1.354775e-7,0.0002363295,0.001722386],"genre_scores_gemma":[0.6091935,6.408723e-7,0.3904734,0.00002073329,0.00001881774,0.00001610496,2.619347e-7,0.000002490427,0.0002740682],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8278567,"threshold_uncertainty_score":0.2322411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02821801675591105,"score_gpt":0.2820500537264698,"score_spread":0.2538320369705587,"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."}}