{"id":"W4387801012","doi":"10.1145/3610285","title":"DevEX: What Actually Drives Productivity?","year":2023,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Productivity; Computer science; Industrial engineering; Manufacturing engineering; Industrial organization; Business; Engineering; Economics; Macroeconomics","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":[0.008795851,0.0007902503,0.0004830765,0.003235034,0.0007135267,0.006231025,0.0009366272,0.001079779,0.003594489],"category_scores_gemma":[0.07358567,0.0003738828,0.0002585253,0.003242625,0.001662091,0.007470996,0.002186355,0.001616051,0.001371726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002688639,"about_ca_system_score_gemma":0.002197251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003117573,"about_ca_topic_score_gemma":0.004001551,"domain_scores_codex":[0.9931505,0.00297821,0.0002995093,0.0007002105,0.002204745,0.0006668742],"domain_scores_gemma":[0.8878143,0.07323886,0.01589865,0.004270517,0.0130121,0.005765704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006089658,0.0005404312,0.5916237,0.0008042195,0.0003202095,0.0003339587,0.007496453,0.005662129,0.003468645,0.05164583,0.02235018,0.3151453],"study_design_scores_gemma":[0.0001342239,0.0009404756,0.7645099,0.001129706,0.0002537169,0.0006907577,0.0123919,0.03192892,0.01233013,0.1191002,0.05641584,0.0001743241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7979335,0.009225485,0.04821806,0.0223896,0.0006022904,0.0001176825,0.001536005,0.0009895796,0.1189879],"genre_scores_gemma":[0.9918467,0.0006328804,0.003498627,0.00029942,0.00007861295,0.00003156502,0.0001651518,0.00009658841,0.003350393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008795851,"threshold_uncertainty_score":0.04651749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.118386196291596,"score_gpt":0.4101737252355088,"score_spread":0.2917875289439128,"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."}}