{"id":"W4402737494","doi":"10.1016/j.jebo.2024.106736","title":"Miner competition and transaction fees","year":2024,"lang":"en","type":"article","venue":"Journal of Economic Behavior & Organization","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"University of California, Irvine","keywords":"Competition (biology); Database transaction; Business; Industrial organization; Database; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005204293,0.00009809292,0.0002197533,0.0003160685,0.00007303518,0.0001658276,0.0000809946,0.00008529227,0.00101615],"category_scores_gemma":[0.00002796819,0.00009996484,0.00005795156,0.0001439211,0.00004395073,0.000660081,0.000009798851,0.0001126258,0.000115347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003456683,"about_ca_system_score_gemma":0.00003462519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002127454,"about_ca_topic_score_gemma":0.000009099585,"domain_scores_codex":[0.9989421,0.00001293311,0.0007048027,0.0001916613,0.00002789844,0.0001206237],"domain_scores_gemma":[0.9995234,0.00002644956,0.0002341928,0.0001008968,0.00006626821,0.00004879521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002533813,0.0004182235,0.5402563,0.0001964013,0.0001232583,0.00001604924,0.004258377,0.003430593,0.01125207,0.4272697,0.0005101986,0.01224345],"study_design_scores_gemma":[0.001014868,0.0002763432,0.9501498,0.0001026958,0.0001721771,0.000511198,0.0002062727,0.007420948,0.006041888,0.02238326,0.01115293,0.0005675636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783959,0.0009497237,0.0183933,0.0005649789,0.001305872,0.0001031519,0.00002211519,0.00003046316,0.0002345393],"genre_scores_gemma":[0.9990774,0.0001823176,0.0003399451,0.00001904962,0.000214693,0.000001551395,0.0000172547,0.00002875573,0.0001190328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4098935,"threshold_uncertainty_score":0.9998971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573812450836866,"score_gpt":0.2262867308446872,"score_spread":0.2105486063363186,"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."}}