{"id":"W2062682757","doi":"10.4018/joeuc.2011100105","title":"An Analysis of Process Characteristics for Developing Scientific Software","year":2011,"lang":"en","type":"article","venue":"Journal of Organizational and End User Computing","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Software development; Personal software process; Agile software development; Computer science; Software engineering; Social software engineering; Software development process; Package development process; Software; Process (computing); Software Engineering Process Group; Software peer review; Quality (philosophy); Software construction; Team software process; Engineering management; 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":[0.003287391,0.00008196176,0.0003007796,0.0008227937,0.0003053239,0.0003312491,0.000582086,0.00002567562,0.00007928163],"category_scores_gemma":[0.002105765,0.00006094473,0.00007078048,0.002253045,0.00008297247,0.0003483003,0.000124858,0.00005054408,0.000001339276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001608589,"about_ca_system_score_gemma":0.0001431807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002451588,"about_ca_topic_score_gemma":0.000002961531,"domain_scores_codex":[0.9978654,0.0000482812,0.000885373,0.0002827903,0.0007870081,0.0001311642],"domain_scores_gemma":[0.9960068,0.0004063041,0.000903432,0.0002185234,0.002387599,0.00007728439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004231847,0.0001826221,0.9466696,0.00004484628,0.0003577173,0.000004983377,0.006542506,0.003382452,0.0002870513,0.006303655,0.0006491515,0.03553305],"study_design_scores_gemma":[0.0002614861,0.00007997531,0.9122662,0.00004877363,0.0002727805,0.00001515894,0.001352893,0.07758961,0.0006038926,0.006536644,0.0008224019,0.0001501642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5758707,0.00001234482,0.4236335,0.00003207652,0.0003878185,0.00002963524,0.00001766381,0.000005556009,0.00001069437],"genre_scores_gemma":[0.936451,0.000001023933,0.06333925,0.00004868306,0.0000860463,1.063859e-7,0.00002461414,0.000005687979,0.00004362217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3605803,"threshold_uncertainty_score":0.3194243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1276913060993204,"score_gpt":0.3668175697352454,"score_spread":0.239126263635925,"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."}}