{"id":"W6949115876","doi":"10.5281/zenodo.10925881","title":"RISK MANAGEMENT USING DATA SCIENCE APPROACHES","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"International Human Rights and Reproductive Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Risk management; Big data; Portfolio; Component (thermodynamics); Order (exchange); Risk management framework; Financial risk; Predictive modelling","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":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002506559,0.00006627341,0.00005374619,0.0002339637,0.005941167,0.001938677,0.001812841,0.00002235044,0.004083054],"category_scores_gemma":[0.0002146278,0.00005707381,0.00002102321,0.000687154,0.000974549,0.0009130103,0.001572981,0.0001502631,0.002197504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002329364,"about_ca_system_score_gemma":0.00001107674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001152271,"about_ca_topic_score_gemma":0.000001855471,"domain_scores_codex":[0.998238,0.0001977911,0.0001165304,0.0005627729,0.0006152569,0.0002696766],"domain_scores_gemma":[0.99914,0.00001279359,0.00003710679,0.0004721905,0.0002472822,0.0000906512],"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":[0.000005485189,0.00004168978,9.150278e-7,0.00002341237,0.00003495135,0.00001175779,0.003333132,0.00004962442,0.0001040694,0.9010583,0.01288408,0.08245255],"study_design_scores_gemma":[0.00004820445,0.00001565595,0.00008773201,0.00002439975,0.00001515026,0.00001031477,0.001120758,0.003277956,0.00003836544,0.004059638,0.9912159,0.00008588283],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01367509,0.0002441948,0.005947087,0.001100466,0.0004988639,0.0004064838,0.0001767847,0.0007165318,0.9772345],"genre_scores_gemma":[0.9914823,0.0002224451,0.001401204,0.00002675708,0.0006172663,1.403459e-8,0.0002874176,0.0003706808,0.005591961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9783319,"threshold_uncertainty_score":0.9990974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1986772228720071,"score_gpt":0.3433939741420584,"score_spread":0.1447167512700513,"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."}}