{"id":"W4400994268","doi":"10.69554/mbmc6321","title":"Machine learning and finance","year":2020,"lang":"en","type":"article","venue":"Journal of risk management in financial institutions","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.0003534041,0.0001824058,0.0002935705,0.0004367411,0.000241349,0.0002048683,0.0002627612,0.00005783963,0.00001822928],"category_scores_gemma":[0.0007842395,0.0001793476,0.00009617691,0.001052025,0.0001189171,0.001645619,0.0002716595,0.0005408159,0.00006768923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005487307,"about_ca_system_score_gemma":0.00003647936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009397807,"about_ca_topic_score_gemma":0.0001070861,"domain_scores_codex":[0.998713,0.00001110768,0.0005585877,0.0002160934,0.0002441353,0.0002570599],"domain_scores_gemma":[0.9991567,0.00002871411,0.000614689,0.00007855642,0.000104211,0.00001713083],"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":[0.0001643075,0.0001589108,0.07433613,0.0001807444,0.00003094016,0.0004898887,0.0001275471,0.006532743,0.00001586507,0.8331431,0.003240053,0.08157974],"study_design_scores_gemma":[0.001129256,0.00005020997,0.0365581,0.0001872897,0.00007439359,0.00001196025,0.00008966181,0.004484754,0.000008504594,0.0126485,0.9445,0.0002573819],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8312093,0.004314464,0.03224123,0.004339911,0.00154722,0.0006691049,0.000024042,0.0001520327,0.1255027],"genre_scores_gemma":[0.9937635,0.002762769,0.001952502,0.0008643416,0.0005261417,0.000005755787,0.000004427164,0.00001515933,0.0001053774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9412599,"threshold_uncertainty_score":0.7313582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02410130194966736,"score_gpt":0.2427557462110094,"score_spread":0.218654444261342,"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."}}