{"id":"W4362657725","doi":"10.1371/journal.pone.0283838","title":"Prioritizing tasks in software development: A systematic literature review","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Software Engineering Research","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Huawei Technologies","keywords":"Computer science; Prioritization; Systematic review; Task (project management); Requirement prioritization; Ranking (information retrieval); Software; Domain (mathematical analysis); Software development; Data science; Field (mathematics); Risk analysis (engineering); Software engineering; Process management; Software construction; Artificial intelligence; Systems engineering; Engineering; Medicine; MEDLINE","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04347318,0.002593409,0.00836751,0.03641022,0.001831817,0.004481221,0.002666838,0.002905116,0.002659659],"category_scores_gemma":[0.1770851,0.002016499,0.009959069,0.02469168,0.001800886,0.007686356,0.004029556,0.002389823,0.0004427728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007936184,"about_ca_system_score_gemma":0.04002806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008265697,"about_ca_topic_score_gemma":0.02441967,"domain_scores_codex":[0.9471486,0.02126689,0.01801874,0.002998226,0.009678669,0.0008888192],"domain_scores_gemma":[0.8201668,0.1318358,0.02239521,0.003663146,0.02032892,0.001610149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001895643,0.00004783325,0.001601256,0.8885678,0.005869927,0.0001955029,0.0007413712,0.0002845907,0.0002663211,0.0005867628,0.002342268,0.09930664],"study_design_scores_gemma":[0.0001693619,0.0002388059,0.002997732,0.9536251,0.02438086,0.0004673259,0.0007923173,0.0002137992,0.0002761477,0.0009077983,0.01586332,0.00006740451],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001971572,0.9926552,0.001743103,0.0008935186,0.0003136185,0.00154667,0.0004612619,0.00002911359,0.0003860326],"genre_scores_gemma":[0.0267914,0.9610528,0.006759077,0.001125249,0.0002201145,0.003350581,0.0005249732,0.00002390258,0.0001519557],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04347318,"threshold_uncertainty_score":0.2299109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0481854037844086,"score_gpt":0.2629992655593275,"score_spread":0.2148138617749189,"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."}}