{"id":"W7009019700","doi":"","title":"A deep generative model framework for creating
\\nhigh quality synthetic transaction sequences","year":2023,"lang":"en","type":"dissertation","venue":"Memorial University Research Repository (Memorial University)","topic":"Financial Distress and Bankruptcy Prediction","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alliance de recherche numérique du Canada; Mitacs","keywords":"Synthetic data; Database transaction; Transaction data; Generative model; Quality (philosophy); Credit card; Generative grammar; Data modeling","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001185424,0.0007742359,0.0004803451,0.0006737554,0.0004206458,0.001185277,0.001833015,0.001240534,0.00482411],"category_scores_gemma":[0.00446411,0.0006937766,0.001254136,0.0005942701,0.001091069,0.001395842,0.001844708,0.002891673,0.00145819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001400293,"about_ca_system_score_gemma":0.001316986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008741793,"about_ca_topic_score_gemma":0.01977184,"domain_scores_codex":[0.9995604,0.0001639611,0.00002189365,0.0001328457,0.00008355717,0.00003734731],"domain_scores_gemma":[0.9987444,0.0008216296,0.00006295794,0.0001814597,0.0001166839,0.00007285718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007028625,0.00007264363,0.001245532,0.00009898045,0.00007281842,0.0001709873,0.0001791641,0.833213,0.004273997,0.06309123,0.006520574,0.09099071],"study_design_scores_gemma":[0.000004464378,0.0000109245,0.00007561171,0.000008914993,0.000003984303,0.00001612739,0.000007521481,0.9844619,0.0006980073,0.01295943,0.001746793,0.000006245704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00615675,0.0002290675,0.9891106,0.0004229891,0.00005251613,0.00006000431,0.0005356463,0.001294448,0.002137889],"genre_scores_gemma":[0.2997881,0.0007476441,0.6795835,0.0009177771,0.00009800991,0.0005234565,0.005041941,0.0007908358,0.01250886],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008741793,"threshold_uncertainty_score":0.01738185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04809184682306289,"score_gpt":0.2923482533369813,"score_spread":0.2442564065139184,"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."}}