{"id":"W2942862229","doi":"10.1073/pnas.1817431116","title":"Productivity, prominence, and the effects of academic environment","year":2019,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":217,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Reputation; Prestige; Meritocracy; Work (physics); Higher education; Public relations; Political science; Sociology; Economics; Social science; Economic growth; Engineering; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics","sts"],"consensus_categories":[],"category_scores_codex":[0.02868256,0.00008952078,0.0002732889,0.005025404,0.0001603103,0.0001101324,0.003143232,0.00008408165,0.00002476034],"category_scores_gemma":[0.03068206,0.00003857312,0.00009421309,0.02927964,0.002991196,0.0007342549,0.001116378,0.0002874195,0.000006479603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002417998,"about_ca_system_score_gemma":0.00004968064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005653723,"about_ca_topic_score_gemma":9.766749e-9,"domain_scores_codex":[0.9885704,0.00004066985,0.0005701045,0.000452197,0.01015569,0.0002109595],"domain_scores_gemma":[0.9937817,0.00445277,0.0009001112,0.00003140435,0.0007753512,0.00005864216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006823501,0.00010642,0.3520761,0.0001725253,0.00002209902,4.774525e-9,0.0004830134,0.00005221847,0.5122666,0.121951,0.00170393,0.01109786],"study_design_scores_gemma":[0.0005651348,0.0001233439,0.5096904,0.00005737923,0.000007841268,0.000004484676,0.0001590335,0.001727315,0.2927848,0.1941667,0.0006408179,0.00007282302],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893894,0.0008324123,0.000001593633,0.005087642,0.00004862643,0.0006283093,0.000005044832,0.000002321065,0.004004654],"genre_scores_gemma":[0.9983698,0.0002745245,0.0002954726,0.000068583,0.00003345762,0.0000116752,1.202852e-8,0.000002190919,0.0009442989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2194818,"threshold_uncertainty_score":0.9997221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2277111381267231,"score_gpt":0.4715653185338999,"score_spread":0.2438541804071768,"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."}}