{"id":"W3123025785","doi":"","title":"Monetary and Implicit Incentives of Patent Examiners","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Incentive; Business; Actuarial science; Simple (philosophy); Public economics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001106167,0.0002743947,0.0004878898,0.0006641194,0.0001047508,0.0001752916,0.0004802461,0.0002760291,0.0001092066],"category_scores_gemma":[0.0002386211,0.0002572041,0.0001079884,0.0001467823,0.0002507333,0.0002636818,0.001318244,0.0008868655,0.00001960623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001233015,"about_ca_system_score_gemma":0.00007065065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008993876,"about_ca_topic_score_gemma":0.0001702023,"domain_scores_codex":[0.9980177,0.00005858561,0.0005497104,0.0006353232,0.0002112329,0.0005274149],"domain_scores_gemma":[0.9990013,0.0001354746,0.0002289494,0.0004565002,0.0001497043,0.00002813265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008343781,0.0005792356,0.0540109,0.002314115,0.0002976288,0.00006806824,0.0007601616,0.006901389,0.001482469,0.001645143,0.0007042026,0.9304023],"study_design_scores_gemma":[0.006100708,0.0005661341,0.604466,0.004828712,0.000207185,0.00002245395,0.005910367,0.2217348,0.002025337,0.05094559,0.09868051,0.004512169],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8750707,0.0003059521,0.000002212869,0.0001928913,0.0002041146,0.0005430265,0.00001017221,0.0000243247,0.1236466],"genre_scores_gemma":[0.9931139,0.005302234,0.00009263687,0.0002459037,0.0003265513,0.00002767932,0.00007591989,0.00003547691,0.0007796722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9258901,"threshold_uncertainty_score":0.999988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1325694704874273,"score_gpt":0.2739012271958504,"score_spread":0.1413317567084231,"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."}}