{"id":"W7064727658","doi":"","title":"Can Banks keep out of trouble?","year":2024,"lang":"en","type":"article","venue":"Ktisis at Cyprus University of Technology (Cyprus University of Technology)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Universitetet i Oslo; Università degli Studi di Palermo; Universiteit van die Vrystaat; York University; La Trobe University; Cyprus University of Technology; Australian Institute of Criminology; Universitas Surabaya; Swinburne University of Technology; Charles Sturt University; Zhongnan University of Economics and Law; University of Oxford; Trường Đại học Kinh tế - Luật, Đại học Quốc gia Thành phố Hồ Chí Minh; University of Cyprus; Saint Louis University; Yale University","keywords":"Government (linguistics); Work (physics); Payment; Production (economics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001428381,0.0002934818,0.0006726915,0.001738196,0.0002862645,0.000006139373,0.001278388,0.0005242542,0.001022927],"category_scores_gemma":[0.000009698017,0.0003789666,0.0002914885,0.001684365,0.001508198,0.000217394,0.0008884037,0.0004927869,0.00009488083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001840868,"about_ca_system_score_gemma":0.0001814204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006513871,"about_ca_topic_score_gemma":0.0003723891,"domain_scores_codex":[0.99841,0.00002348345,0.0002951168,0.0005531193,0.0002373571,0.0004809273],"domain_scores_gemma":[0.9986637,0.00004110942,0.0003297795,0.0006886245,0.0001947346,0.0000820566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005307174,0.000640534,0.5125512,0.0004771963,0.002477919,0.0002333166,0.002883717,0.0001095901,0.1064186,0.09289784,0.007077712,0.2737017],"study_design_scores_gemma":[0.006189108,0.00107356,0.04147549,0.0008836138,0.001251762,0.00003085873,0.02001667,0.001739427,0.6429047,0.01750869,0.264931,0.00199512],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878592,0.0003684509,0.0009012417,0.002530548,0.0001823693,0.0002371205,0.0002344664,0.0004462277,0.007240309],"genre_scores_gemma":[0.9942479,0.000160724,0.00331116,0.000003964331,0.00001312957,2.148361e-7,0.00002455385,0.00001909331,0.002219261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5364861,"threshold_uncertainty_score":0.9998903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006865953660473455,"score_gpt":0.1875856369444524,"score_spread":0.180719683283979,"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."}}