{"id":"W4367837127","doi":"10.1145/3595878","title":"DevEx: What Actually Drives Productivity","year":2023,"lang":"en","type":"article","venue":"Queue","topic":"Design Education and Practice","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Productivity; Computer science; Quality (philosophy); Measure (data warehouse); Work (physics); Order (exchange); Product (mathematics); Focus (optics); Knowledge management; Process management; Business; Engineering; Database","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":[0.00461852,0.0004767805,0.0003414483,0.00187352,0.000625072,0.004964859,0.0008277494,0.0006693313,0.004744416],"category_scores_gemma":[0.04178342,0.0003078998,0.0002405335,0.001628315,0.001793777,0.005661482,0.002400137,0.0009500577,0.0009470982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001658214,"about_ca_system_score_gemma":0.001324304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002672299,"about_ca_topic_score_gemma":0.00251243,"domain_scores_codex":[0.9950439,0.001668391,0.0003873573,0.0007828886,0.001498644,0.0006188194],"domain_scores_gemma":[0.9415008,0.0331864,0.009379987,0.003635216,0.00749797,0.004799588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003329973,0.0003376701,0.6774613,0.0007567676,0.0001507537,0.0004936922,0.01985545,0.003198058,0.004686389,0.02557664,0.01007754,0.2570727],"study_design_scores_gemma":[0.00006998486,0.0007633826,0.8201576,0.0007598336,0.0001050593,0.0009764098,0.02750854,0.01099182,0.009161174,0.04622415,0.08308645,0.0001955747],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8722621,0.002140858,0.03141719,0.005959239,0.0002110231,0.0001071774,0.001053018,0.0006192591,0.08623031],"genre_scores_gemma":[0.9937446,0.0002297381,0.002680816,0.0001256049,0.00003426607,0.00002778526,0.0001394098,0.00006375316,0.00295414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004964859,"threshold_uncertainty_score":0.02442539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02271875962544245,"score_gpt":0.2664595124774976,"score_spread":0.2437407528520552,"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."}}