{"id":"W4251952445","doi":"10.1109/ms.2009.184","title":"Point/Counterpoint","year":2009,"lang":"en","type":"article","venue":"IEEE Software","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Counterpoint; Social software engineering; Computer science; Software engineering; Software development; Software peer review; Personal software process; Software construction; Software; Software analytics; Empirical research; Software requirements; Programming language; Sociology; Epistemology; Philosophy","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":[0.0002014849,0.000133421,0.0001198796,0.00008143654,0.0001221726,0.0001216607,0.0007555726,0.00006289122,0.00002154804],"category_scores_gemma":[0.0001394627,0.0001248023,0.00006818768,0.00024618,0.00001095978,0.0007562805,0.00005235421,0.0001666337,0.00008959892],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003333513,"about_ca_system_score_gemma":0.00002728682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009697433,"about_ca_topic_score_gemma":6.677437e-7,"domain_scores_codex":[0.9991143,0.00002085574,0.0001481056,0.0002750792,0.000197491,0.0002441899],"domain_scores_gemma":[0.9990582,0.0001391189,0.00005690959,0.0006080611,0.00005468615,0.00008296745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002899404,0.0003245047,0.001405497,0.00005421945,0.00005590766,0.0004397737,0.002497912,0.0009567352,0.002307321,0.06928308,0.131263,0.791383],"study_design_scores_gemma":[0.001155598,0.001774998,0.01699738,0.0003185611,0.00003910154,0.0008729099,0.00002368013,0.01735988,0.04535888,0.2317395,0.6818081,0.002551344],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003551546,0.0001636415,0.990934,0.001297105,0.000586462,0.00008625736,0.000001554545,0.002753671,0.0006257576],"genre_scores_gemma":[0.5420024,0.00002659094,0.4556792,0.001918399,0.0001298358,0.000008039437,0.000001172765,0.00001001608,0.0002244124],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7888317,"threshold_uncertainty_score":0.5089292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061151900857557,"score_gpt":0.2502784733209914,"score_spread":0.2396669543124158,"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."}}