{"id":"W3006456429","doi":"10.3386/w26752","title":"Stagnation and Scientific Incentives","year":2020,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Institute on Aging; Leibniz-Gemeinschaft","keywords":"Incentive; Economics; Business; Microeconomics","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.02903601,0.0005704041,0.001732122,0.005512026,0.003030799,0.009993826,0.001233074,0.003690459,0.008181592],"category_scores_gemma":[0.1254394,0.0005347054,0.000815185,0.00719852,0.007038759,0.00947187,0.004911133,0.002547927,0.001309934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009834462,"about_ca_system_score_gemma":0.008300174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003176241,"about_ca_topic_score_gemma":0.002113699,"domain_scores_codex":[0.9787224,0.009723781,0.001445485,0.002184231,0.005371703,0.002552417],"domain_scores_gemma":[0.8825972,0.05507524,0.0303552,0.006377505,0.01455724,0.01103755],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004099287,0.0002237823,0.07467699,0.0004742053,0.0001890592,0.0002922624,0.002723863,0.01543908,0.0008631515,0.8192315,0.009787114,0.07568905],"study_design_scores_gemma":[0.0001434711,0.0002674596,0.03016378,0.000258484,0.00006769664,0.0001797235,0.0009177896,0.01439952,0.0005342842,0.9171315,0.03583729,0.00009908764],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6407834,0.01389479,0.07941799,0.06763937,0.0007704539,0.0004184549,0.001527892,0.000679989,0.1948677],"genre_scores_gemma":[0.9867313,0.001585927,0.004384581,0.001111289,0.0002921971,0.0001563774,0.0001528404,0.00004570165,0.005539858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.994488,"threshold_uncertainty_score":0.1535589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9232644462540172,"score_gpt":0.7214025480609675,"score_spread":0.2018618981930497,"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."}}