{"id":"W4400990447","doi":"10.69554/xagv5870","title":"Banking book collateral transformation","year":2019,"lang":"en","type":"article","venue":"Journal of securities operations & custody","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Collateral; Transformation (genetics); Business; Biology; Finance","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":[0.001518619,0.0005463085,0.0004193288,0.002169427,0.0009939082,0.005181878,0.0009642953,0.0007077162,0.06070637],"category_scores_gemma":[0.009427615,0.0003422835,0.0005500795,0.002746769,0.0007774642,0.004792656,0.0027442,0.001408284,0.03745103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004656,"about_ca_system_score_gemma":0.001754737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002099018,"about_ca_topic_score_gemma":0.001688787,"domain_scores_codex":[0.9974674,0.0003099839,0.0002005813,0.0004247776,0.001421766,0.0001754254],"domain_scores_gemma":[0.9953449,0.0004919438,0.0003810953,0.001825781,0.001710957,0.000245175],"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":[0.0004064411,0.0003919163,0.008095568,0.0002916511,0.00003502297,0.0008191238,0.001297349,0.004937259,0.01067957,0.08265625,0.1995589,0.6908311],"study_design_scores_gemma":[0.00006575824,0.0002256861,0.01132849,0.0001715694,0.0000387405,0.00139964,0.0007931319,0.01677534,0.02125824,0.026102,0.9217359,0.0001054755],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1232726,0.001300364,0.1564585,0.004385918,0.001599984,0.001940539,0.01165668,0.03897696,0.6604085],"genre_scores_gemma":[0.4808235,0.00162973,0.1055259,0.001303551,0.0007836238,0.0006877478,0.02121424,0.004766173,0.3832656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06070637,"threshold_uncertainty_score":0.203083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01836796374917717,"score_gpt":0.2247789852260453,"score_spread":0.2064110214768681,"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."}}