{"id":"W2394748648","doi":"","title":"Forgery Losses: Banks Beware!","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Banking stability, regulation, efficiency","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Business","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":[0.005305314,0.0005937053,0.0006509415,0.001331106,0.003890594,0.01479468,0.001206879,0.007138621,0.03071581],"category_scores_gemma":[0.04337469,0.000488119,0.0003978061,0.00137526,0.007536102,0.01759962,0.005289933,0.007543449,0.01046473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002826376,"about_ca_system_score_gemma":0.002401683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003082553,"about_ca_topic_score_gemma":0.001588824,"domain_scores_codex":[0.994773,0.001899213,0.0002255432,0.0007057646,0.001666819,0.0007296207],"domain_scores_gemma":[0.9841322,0.004778322,0.003709564,0.00348245,0.002950018,0.0009473313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003008936,0.00006315221,0.005675331,0.0001765508,0.00004516386,0.0007008519,0.006666184,0.0008120877,0.0004848598,0.6805552,0.2038555,0.1006642],"study_design_scores_gemma":[0.00004430782,0.00006912813,0.004380111,0.0006234703,0.00005161273,0.001538392,0.00488838,0.001431159,0.001519298,0.5112188,0.4741498,0.00008556438],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1075261,0.02332533,0.03542912,0.2938525,0.004052514,0.0001392722,0.0009906723,0.0008837849,0.5338007],"genre_scores_gemma":[0.8507481,0.007620567,0.003186507,0.02826246,0.001591693,0.00009102133,0.0002848425,0.0003050123,0.1079098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03071581,"threshold_uncertainty_score":0.1027547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277240526179091,"score_gpt":0.2152206566862304,"score_spread":0.2024482514244395,"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."}}