{"id":"W2263084026","doi":"10.11575/prism/22011","title":"A software engineering measurement expert system","year":2003,"lang":"en","type":"dissertation","venue":"PRISM (University of Calgary)","topic":"Software Engineering Research","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Software engineering; Expert system; Systems engineering; Software system; Computer science; Engineering; Software; Operating system; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003544559,0.0002502036,0.000369394,0.0004233781,0.0001050227,0.00003810928,0.001283275,0.0002694123,0.00002020354],"category_scores_gemma":[0.000311293,0.000335126,0.0001751455,0.0003514438,0.00001566105,0.0002426618,0.00012507,0.0003694958,0.00004232615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004961116,"about_ca_system_score_gemma":0.0002845356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002712197,"about_ca_topic_score_gemma":0.000005381265,"domain_scores_codex":[0.9978762,0.00004407089,0.000161295,0.0004739165,0.001097084,0.0003474409],"domain_scores_gemma":[0.9986064,0.0001222778,0.0001256176,0.0006728223,0.0003059262,0.0001669031],"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":[0.0002737454,0.0007529001,0.002222752,0.01636709,0.002450466,0.002650471,0.03641273,0.000348775,0.01026606,0.03125875,0.04424794,0.8527483],"study_design_scores_gemma":[0.007627483,0.001009381,0.1123139,0.01326997,0.0004850344,0.0001765837,0.00232123,0.6241456,0.02037883,0.0001747344,0.2095972,0.0085],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006325383,0.00153383,0.9895241,0.00001800643,0.0008593099,0.0002774059,2.366929e-7,0.0005542581,0.0009074195],"genre_scores_gemma":[0.02571271,0.0001792904,0.9641356,0.00001512014,0.00004255255,0.000008062508,0.00006435619,0.0001079646,0.009734286],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8442483,"threshold_uncertainty_score":0.9999101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01436330772886537,"score_gpt":0.2012088285368997,"score_spread":0.1868455208080343,"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."}}