{"id":"W2024203371","doi":"10.1007/s13369-015-1597-x","title":"Measuring Flexibility in Software Project Schedules","year":2015,"lang":"en","type":"article","venue":"Arabian Journal for Science and Engineering","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Schedule; Flexibility (engineering); Computer science; Betweenness centrality; Software metric; Software; Software project management; Reliability engineering; Network topology; Critical path method; Software system; Software development; Software quality; Systems engineering; Software construction; Centrality; Engineering; Mathematics","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":[0.003624009,0.0001126564,0.0001278309,0.0003808873,0.0001464423,0.0004697446,0.0006674636,0.00003511808,2.256262e-7],"category_scores_gemma":[0.002585776,0.0001012594,0.00002923202,0.0007763074,0.00004824251,0.002242479,0.000129581,0.0002273608,7.737949e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001366611,"about_ca_system_score_gemma":0.0003069477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000132504,"about_ca_topic_score_gemma":0.000002272645,"domain_scores_codex":[0.9987899,0.00001161755,0.0001989974,0.0002630105,0.0003625442,0.0003739494],"domain_scores_gemma":[0.9991834,0.0001198713,0.00005067372,0.0002212306,0.0002204913,0.0002042903],"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":[0.0001193187,0.0002861334,0.05488435,0.0006227784,0.00007352243,0.0002732295,0.01427044,0.2034016,0.00889778,0.1276558,0.001409388,0.5881056],"study_design_scores_gemma":[0.001460191,0.0006789448,0.01819775,0.0005099191,0.00001306501,0.001298426,0.0003420275,0.9213464,0.007639598,0.02117079,0.02620939,0.001133469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1750177,0.000405922,0.8233263,0.0002688392,0.0006023824,0.0001371412,4.840867e-7,0.0002131209,0.00002812386],"genre_scores_gemma":[0.5483885,0.00002308117,0.4514818,0.00002605229,0.00005598284,0.00001267445,8.063156e-8,0.000006620489,0.000005230806],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7179448,"threshold_uncertainty_score":0.4529758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1063952332439972,"score_gpt":0.3135868280484201,"score_spread":0.2071915948044229,"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."}}