{"id":"W1523454089","doi":"10.2139/ssrn.399240","title":"Incentives, Performance, and Academic Tenure","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Incentive; Business; Economics; 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"],"consensus_categories":[],"category_scores_codex":[0.008420658,0.0001562172,0.0005449216,0.001433394,0.002205272,0.005246551,0.0006510082,0.001912285,0.01670037],"category_scores_gemma":[0.04581612,0.0001502599,0.0002807758,0.002769008,0.001711393,0.001946243,0.00239804,0.00167318,0.002369358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001626426,"about_ca_system_score_gemma":0.00401084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002381327,"about_ca_topic_score_gemma":0.004986463,"domain_scores_codex":[0.9961177,0.001538507,0.0002529871,0.0001765902,0.0006307501,0.001283497],"domain_scores_gemma":[0.8997153,0.02648813,0.02737904,0.002566337,0.005617611,0.03823366],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001836417,0.002635957,0.896668,0.0000940374,0.00008818491,0.0002095024,0.001592013,0.001272032,0.0005772723,0.03590046,0.007419182,0.05170691],"study_design_scores_gemma":[0.0002411055,0.000864818,0.9559413,0.000080667,0.00005198135,0.0001987191,0.003343852,0.001585875,0.0003568084,0.02887472,0.008419932,0.00004020264],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552316,0.001192962,0.000515599,0.006283714,0.000126939,0.0000286523,0.0002150673,0.00002286998,0.03638254],"genre_scores_gemma":[0.9958612,0.00016616,0.00006891644,0.0001850122,0.0001075467,0.000007415485,0.00005800546,0.000004815005,0.003540897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9915794,"threshold_uncertainty_score":0.05586827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008214268423780901,"score_gpt":0.2031751560711218,"score_spread":0.1949608876473409,"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."}}