{"id":"W3138654300","doi":"","title":"Stagnation and Scientific Incentives","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Incentive; Novelty; Productivity; Economics; Scientific progress; Political science; Epistemology; Psychology; Macroeconomics; 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":[0.03063305,0.0005695511,0.001730686,0.005674138,0.003222431,0.01048573,0.001282732,0.003827023,0.008150719],"category_scores_gemma":[0.1306391,0.0005194437,0.0008077857,0.007207676,0.007195934,0.01001662,0.005287919,0.002613111,0.001295227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01002557,"about_ca_system_score_gemma":0.008837581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002913211,"about_ca_topic_score_gemma":0.001935844,"domain_scores_codex":[0.9778086,0.01038498,0.001488897,0.002151018,0.005444249,0.00272231],"domain_scores_gemma":[0.8760648,0.05751624,0.03179272,0.006742334,0.01529211,0.0125918],"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":[0.000460434,0.0002414108,0.08094899,0.0005119768,0.0002055922,0.0003425996,0.003101003,0.01603466,0.0008747578,0.8059882,0.00990423,0.08138612],"study_design_scores_gemma":[0.0001627453,0.0003415046,0.03278834,0.0002869188,0.0000768907,0.0002125654,0.001044697,0.01413761,0.0005429515,0.9103817,0.03991468,0.0001092887],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6437913,0.01413089,0.07242308,0.06587911,0.0007339335,0.0004588257,0.001371207,0.0006598413,0.2005519],"genre_scores_gemma":[0.9881038,0.001430495,0.003883349,0.001029213,0.0002749881,0.0001610297,0.0001308645,0.00004150202,0.004944793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9943259,"threshold_uncertainty_score":0.1620049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.415621909601076,"score_gpt":0.5245709629799813,"score_spread":0.1089490533789053,"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."}}