{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003925262,0.0004806192,0.0004442857,0.0004140323,0.0002500973,0.0006068806,0.000653438,0.0004998034,0.001242375],"category_scores_gemma":[0.000646138,0.0001925375,0.0003800782,0.0004327278,0.0001331249,0.0009669768,0.00028254,0.0005408567,0.0003000042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000635082,"about_ca_system_score_gemma":0.0007927993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02156885,"about_ca_topic_score_gemma":0.01543871,"domain_scores_codex":[0.9998507,0.00001972273,0.00001063894,0.0000467427,0.00004391724,0.00002826439],"domain_scores_gemma":[0.9998685,0.00004193917,0.00001646294,0.000004592293,0.00005952259,0.000008980913],"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":[0.0001296903,0.00006018373,0.003996698,0.00004583517,0.00004815507,0.0001152388,0.00005149417,0.9276956,0.001900738,0.002173695,0.001595178,0.06218739],"study_design_scores_gemma":[0.000002216679,0.000006237628,0.0002727507,0.000001584177,0.000004482977,0.000005057232,0.000002808197,0.9990873,0.0001671665,0.000378083,0.00006951099,0.000002770619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3811468,0.00119845,0.6017603,0.001032441,0.000268921,0.00006996983,0.0006773949,0.001712808,0.01213293],"genre_scores_gemma":[0.9803094,0.0003693448,0.01445712,0.00005648113,0.00004381188,0.00004846685,0.000315441,0.00001941633,0.004380432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02156885,"threshold_uncertainty_score":0.04288656,"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."}}