{"id":"W2156959062","doi":"10.1007/978-3-540-73101-6_53","title":"Learning More About “Software Best Practices”","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Best practice; Agile software development; Extreme programming practices; Software; Computer science; Business; Engineering management; Process management; Knowledge management; Software engineering; Software development; Engineering; Management; Software development process; Economics; Operating system","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003367451,0.00060766,0.0004218346,0.001022548,0.0008433894,0.004436125,0.001127403,0.00148669,0.02651094],"category_scores_gemma":[0.01701073,0.0002850411,0.0005141478,0.001350433,0.002507444,0.02206081,0.001914004,0.003684511,0.004761625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215103,"about_ca_system_score_gemma":0.001401109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007576348,"about_ca_topic_score_gemma":0.001461233,"domain_scores_codex":[0.9979191,0.000859601,0.0000977679,0.0002710913,0.0007531344,0.00009930345],"domain_scores_gemma":[0.9912122,0.005028129,0.0005674564,0.001248188,0.001407539,0.0005365214],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003490839,0.000240748,0.002364366,0.0003892814,0.00003885687,0.0001031562,0.008907913,0.001785052,0.001822036,0.4028458,0.1062023,0.4752656],"study_design_scores_gemma":[0.0000116622,0.00006217406,0.001171011,0.0004038354,0.0000208741,0.0001705166,0.004332197,0.002101458,0.001481778,0.7071248,0.2830945,0.00002512272],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04957106,0.006028461,0.2925062,0.1151056,0.002504234,0.00006442698,0.0003464104,0.0011326,0.532741],"genre_scores_gemma":[0.5325236,0.0162204,0.2446262,0.03147893,0.003073977,0.0001772193,0.00186703,0.001368737,0.168664],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9966326,"threshold_uncertainty_score":0.08868796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1540138845334389,"score_gpt":0.4044535851050993,"score_spread":0.2504397005716604,"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."}}