{"id":"W1984455889","doi":"10.1002/spip.161","title":"Simulations for very early lifecycle quality evaluations","year":2002,"lang":"en","type":"article","venue":"Software Process Improvement and Practice","topic":"Software Engineering Research","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; West Virginia University; National Aeronautics and Space Administration","keywords":"Computer science; Interdependence; Quality (philosophy); Outcome (game theory); Key (lock); Monte Carlo method; Process (computing); Software engineering; Risk analysis (engineering); Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003636315,0.0007587785,0.0009116704,0.001015234,0.0004681748,0.0009615702,0.001243897,0.001466854,0.008178907],"category_scores_gemma":[0.01660189,0.0006275448,0.0008048225,0.0006736774,0.0007624668,0.0011814,0.001062635,0.001796186,0.0005651528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001241918,"about_ca_system_score_gemma":0.001008029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005437723,"about_ca_topic_score_gemma":0.005036627,"domain_scores_codex":[0.9984671,0.00112905,0.00005537815,0.00008035633,0.0002002169,0.00006782821],"domain_scores_gemma":[0.9767359,0.02109743,0.0006011363,0.0006799814,0.0007094251,0.0001759809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005416801,0.00003701639,0.0003622084,0.00002755879,0.0000145327,0.00002095317,0.00002732074,0.9857022,0.0002227128,0.008416459,0.0002648728,0.004849975],"study_design_scores_gemma":[0.00001532214,0.00001092276,0.00003741583,0.000006685035,0.000002314838,0.000002620015,0.000003639287,0.9943463,0.0002240941,0.005035119,0.0003126017,0.00000297467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09441449,0.0004303748,0.8927194,0.0005784548,0.00006262917,0.0002112435,0.0003646136,0.001588961,0.009629794],"genre_scores_gemma":[0.7097753,0.0002215978,0.2867731,0.0001119587,0.00001884615,0.0005980093,0.0003150221,0.0001445634,0.002041645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008178907,"threshold_uncertainty_score":0.02736121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0773490813847675,"score_gpt":0.3976941463140998,"score_spread":0.3203450649293323,"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."}}