{"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":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.0002545065,0.00006476431,0.00009102038,0.00005986832,0.0002394441,0.00003031894,0.01115774,0.00003725163,0.00008296614],"category_scores_gemma":[0.006977438,0.00004743045,0.00005309206,0.0005981496,0.0003053762,0.000178811,0.008707954,0.0001864518,0.0006103137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000619551,"about_ca_system_score_gemma":0.00003321917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001253974,"about_ca_topic_score_gemma":0.00002164533,"domain_scores_codex":[0.9992773,0.0002540037,0.0001264223,0.0001318856,0.00008857725,0.0001217976],"domain_scores_gemma":[0.986051,0.000503357,0.0001040096,0.01318566,0.000138591,0.0000174165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001136312,0.001679257,0.05095401,0.0001470772,0.0006771122,0.000001630451,0.09455849,0.00003691746,0.01253402,0.06895256,0.183988,0.5863572],"study_design_scores_gemma":[0.0004782365,0.0001219095,0.584429,0.0002911328,0.00008830334,0.00001149331,0.02701537,0.00002104288,0.006131864,0.1921305,0.1889722,0.0003088805],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8394036,0.002631264,0.00001354109,0.1383393,0.0004568387,0.0002738739,0.000007410584,0.0002052292,0.01866885],"genre_scores_gemma":[0.9913698,0.0004027227,0.00107627,0.0002050635,0.00002917511,0.00007274157,0.00001219962,0.00001255465,0.006819461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5860484,"threshold_uncertainty_score":0.9993094,"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."}}