{"id":"W2905145486","doi":"10.1002/mde.2999","title":"Subjective performance of patent examiners, implicit contracts, and self‐funded patent offices","year":2019,"lang":"en","type":"article","venue":"Managerial and Decision Economics","topic":"Intellectual Property and Patents","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Incentive; Proxy (statistics); Agency (philosophy); Quality (philosophy); Revenue; Business; Constraint (computer-aided design); Patent office; Context (archaeology); Budget constraint; Microeconomics; Principal–agent problem; Actuarial science; Economics; Finance; Computer science; Law","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":[0.02219895,0.0003460078,0.0005983197,0.001103234,0.0006168008,0.004344071,0.0004023019,0.001297724,0.00729567],"category_scores_gemma":[0.0995856,0.0002052154,0.0004262583,0.0008815184,0.001838176,0.001898574,0.001497149,0.0009521391,0.0007632767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009603167,"about_ca_system_score_gemma":0.0006368655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001751823,"about_ca_topic_score_gemma":0.001795227,"domain_scores_codex":[0.9906049,0.005191365,0.001100922,0.0007346604,0.001645538,0.0007225594],"domain_scores_gemma":[0.7982606,0.118859,0.05841377,0.00999917,0.007484895,0.006982639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001276309,0.0009087208,0.90635,0.0001954365,0.000549377,0.0003810813,0.005718059,0.009661666,0.002618052,0.01786251,0.001511326,0.05296751],"study_design_scores_gemma":[0.0001296381,0.0009871881,0.9601169,0.0001149754,0.0001649754,0.0002614267,0.006215469,0.01329639,0.001792611,0.01297639,0.003809684,0.000134526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880441,0.0003043096,0.002010942,0.0003703487,0.00001339768,0.00003013645,0.00007609279,0.000007385044,0.009143313],"genre_scores_gemma":[0.9978976,0.00005919946,0.0003272407,0.00003465558,0.00001623909,0.00001156085,0.00005010633,0.000003125177,0.001600273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02219895,"threshold_uncertainty_score":0.1174006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06133124000020984,"score_gpt":0.1924977202296749,"score_spread":0.1311664802294651,"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."}}