{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0017968,0.0002086946,0.0003009834,0.0009275162,0.001085806,0.002048741,0.0004762402,0.0005817919,0.004351849],"category_scores_gemma":[0.01313651,0.0001791115,0.0003061903,0.0007771075,0.001142569,0.0008759446,0.002111896,0.000541073,0.0003463124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006640953,"about_ca_system_score_gemma":0.0009144795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004545503,"about_ca_topic_score_gemma":0.005745993,"domain_scores_codex":[0.9982036,0.0007249701,0.00007528449,0.0002972109,0.0002993364,0.0003994307],"domain_scores_gemma":[0.9850224,0.005915008,0.003156922,0.0008217866,0.0006378206,0.004446038],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005799962,0.0005151779,0.9824124,0.00002697625,0.00007911555,0.0001346968,0.001302727,0.000544044,0.00202054,0.0005164298,0.0001747675,0.01169319],"study_design_scores_gemma":[0.00001032587,0.0002457573,0.9978593,0.000005468137,0.00001243801,0.00002744636,0.0008804132,0.0003622481,0.0001836079,0.0002229919,0.0001854796,0.000004586428],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998925,0.00006157062,0.0001188477,0.00006420919,0.000004330479,0.000004880064,0.0000350144,0.000003584763,0.0007826117],"genre_scores_gemma":[0.9996031,0.00002355249,0.0000842096,0.00001366151,0.000005429429,0.000005246668,0.00002757307,0.00000196842,0.0002352121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9990725,"threshold_uncertainty_score":0.01455837,"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."}}