{"id":"W3193375911","doi":"10.1109/bdacs53596.2021.00021","title":"Enterprise Profit Forecast Model Based on Long Short-Term Memory Neural Network","year":2021,"lang":"en","type":"article","venue":"","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Artificial neural network; Computer science; Profit (economics); Long short term memory; Kurtosis; Financial statement; Artificial intelligence; Econometrics; Finance; Machine learning; Accounting; Recurrent neural network; Business; Economics; Statistics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00488814,0.0003314363,0.0005029741,0.0002226589,0.0002655319,0.0004319589,0.0009563746,0.0001437556,0.001767416],"category_scores_gemma":[0.004382997,0.0002470129,0.0003595549,0.001187759,0.0001020139,0.0002765182,0.000411104,0.0003528553,0.0001246387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007623475,"about_ca_system_score_gemma":0.0002395677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004056863,"about_ca_topic_score_gemma":0.00009839036,"domain_scores_codex":[0.9945389,0.0008471996,0.0008677992,0.001121645,0.001914582,0.0007098958],"domain_scores_gemma":[0.9937066,0.003828935,0.0001685707,0.001534536,0.0004614044,0.0002999809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002405925,0.00007447327,0.1448215,0.000008052639,0.00001538208,0.0002003046,0.00009180922,0.3621843,0.0001281553,0.0001983085,0.01861578,0.4734213],"study_design_scores_gemma":[0.0003178648,0.00007718777,0.02916342,0.00004439524,0.00001800136,0.00003440902,0.00004236667,0.9654301,0.0009030709,0.003571537,0.0001163863,0.0002812497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3726958,0.00005420254,0.5050783,0.000730927,0.001311167,0.0003761621,0.000009497085,0.0001711925,0.1195727],"genre_scores_gemma":[0.8673998,0.000001103931,0.1132863,0.001758551,0.0003135853,0.00004402159,0.000009350972,0.0000445652,0.01714281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6032458,"threshold_uncertainty_score":0.9999982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1362702163084931,"score_gpt":0.3945964163548224,"score_spread":0.2583262000463293,"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."}}