{"id":"W2098349183","doi":"10.1109/icsm.1995.526550","title":"A sizing measure for adaptive maintenance work products","year":2002,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Sizing; Function point; Granularity; Computer science; Measure (data warehouse); Work (physics); Process (computing); Product (mathematics); Reliability engineering; Function (biology); Software; Perspective (graphical); Interval (graph theory); Productivity; Industrial engineering; Software development; Engineering; Data mining; Mathematics; Artificial intelligence; Mechanical engineering","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":[0.0002848889,0.00008810541,0.0000888476,0.00006256649,0.00006175925,0.00008190179,0.0006078872,0.00003059012,0.00001483367],"category_scores_gemma":[0.001453025,0.00007407532,0.00003255757,0.000640892,0.00001878085,0.0002308436,0.0001136135,0.0001040241,0.0001008953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005395773,"about_ca_system_score_gemma":0.00001928903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000297442,"about_ca_topic_score_gemma":9.520138e-7,"domain_scores_codex":[0.9989188,0.00001435929,0.00008967066,0.0003461789,0.0002579663,0.0003730779],"domain_scores_gemma":[0.9988402,0.0004050104,0.00001666952,0.0004525208,0.0002182559,0.00006739817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004755908,0.0002696598,0.004056724,0.0001432492,0.0001200044,0.0000655939,0.003670834,0.002351574,0.001519926,0.1188542,0.2988188,0.5700818],"study_design_scores_gemma":[0.003633441,0.001174737,0.02924273,0.0007264455,0.00001880782,0.0001115231,0.0001465408,0.7343,0.03005438,0.006221226,0.1917969,0.002573316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00108984,0.0004791456,0.9938731,0.002457361,0.0002388002,0.0003384753,4.683742e-7,0.0004840714,0.001038806],"genre_scores_gemma":[0.6996487,0.000003350238,0.2954916,0.00007820964,0.00008943663,0.00007356601,1.202885e-7,0.0000111102,0.004603939],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7319484,"threshold_uncertainty_score":0.3020704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05726241815363975,"score_gpt":0.2415078148630506,"score_spread":0.1842453967094109,"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."}}