{"id":"W3122134875","doi":"10.2308/accr-51927","title":"Does Information Technology Reputation Affect Bank Loan Terms?","year":2017,"lang":"en","type":"article","venue":"The Accounting Review","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Reputation; Loan; Business; Affect (linguistics); Control (management); Actuarial science; Finance; Economics","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":[0.0008877817,0.0001528532,0.0002359692,0.00007679642,0.0007376486,0.0007078031,0.0008082981,0.00005328182,0.00007103907],"category_scores_gemma":[0.0009981295,0.00007855913,0.00007593307,0.0002632794,0.00008686676,0.004826574,0.0002522198,0.0001548081,0.001167835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001933511,"about_ca_system_score_gemma":0.00001415854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002815437,"about_ca_topic_score_gemma":0.0000666948,"domain_scores_codex":[0.9990969,0.000006024442,0.000322893,0.0001592751,0.0002010325,0.0002138721],"domain_scores_gemma":[0.9974602,0.00002310129,0.001454306,0.000898106,0.0001609545,0.000003315026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001612651,0.00002424377,0.2370379,0.005845312,0.00002856333,0.000007383074,0.00002509969,0.000008115722,0.00006684036,0.01869784,0.03860528,0.6996373],"study_design_scores_gemma":[0.0001970326,0.000003673461,0.2507991,0.00301232,0.00009183832,0.000003542164,0.00001220555,0.0001886539,0.00002417969,0.006890541,0.7385747,0.0002021925],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.749385,0.01419494,0.001607783,0.1601466,0.004228866,0.004035902,0.00001741302,0.001124041,0.06525943],"genre_scores_gemma":[0.9864591,0.004772443,0.00005707387,0.007638494,0.0007090328,0.00006350406,0.00001623476,0.0000150182,0.000269091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6999694,"threshold_uncertainty_score":0.9996099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349046182187757,"score_gpt":0.2466226066148739,"score_spread":0.2331321447929963,"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."}}