{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009891379,0.0003028801,0.0005323802,0.0006826343,0.0006549057,0.002439879,0.0006391698,0.001731451,0.007445049],"category_scores_gemma":[0.08639538,0.0003311501,0.000283599,0.0005174226,0.001019057,0.001187702,0.001562071,0.001027544,0.0007719072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007848481,"about_ca_system_score_gemma":0.001072909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006873216,"about_ca_topic_score_gemma":0.0006675362,"domain_scores_codex":[0.9928,0.004303842,0.0005460659,0.0005449555,0.001050658,0.0007545037],"domain_scores_gemma":[0.8785782,0.06667276,0.0359937,0.01008932,0.004134872,0.004531223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00437986,0.003075405,0.6356478,0.0006790868,0.0003055538,0.001748011,0.004075091,0.02954344,0.03119603,0.07940322,0.004139679,0.2058068],"study_design_scores_gemma":[0.0009151907,0.003984995,0.7409533,0.0003006403,0.0003480043,0.001979533,0.004519437,0.1543606,0.01759912,0.06001962,0.01480061,0.0002189761],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826733,0.000316157,0.006338685,0.001214819,0.00003051661,0.00006338608,0.00004984164,0.00004388729,0.00926931],"genre_scores_gemma":[0.9967238,0.0000601152,0.001207998,0.00005307521,0.00002458622,0.00002251398,0.00001319789,0.000003386442,0.001891255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009891379,"threshold_uncertainty_score":0.05231124,"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."}}