{"id":"W4409787914","doi":"10.61091/jcmcc127a-472","title":"Research on intelligent financial statement analysis and anomaly identification technology based on machine learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Financial statement; Financial statement analysis; Statement (logic); Anomaly (physics); Computer science; Artificial intelligence; Accounting; Business; Financial analysis; Epistemology; Philosophy; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00906813,0.0001963811,0.0006562291,0.002739608,0.0006795697,0.0005261774,0.0008627456,0.0002158517,0.000009508437],"category_scores_gemma":[0.005774685,0.0001525642,0.0001408654,0.00379876,0.0002208132,0.0001003128,0.000440607,0.0009843097,0.000005933603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001226918,"about_ca_system_score_gemma":0.0001524491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001383032,"about_ca_topic_score_gemma":0.000002309276,"domain_scores_codex":[0.996142,0.0002447392,0.001556078,0.0004143038,0.001350464,0.0002924535],"domain_scores_gemma":[0.9942824,0.002891164,0.001038454,0.0005525063,0.001143958,0.00009150143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001131582,0.0005761102,0.002210662,0.00002788216,0.0001022037,0.00000607851,0.0001045911,0.0007843875,0.0001907781,0.9614893,0.0004589247,0.03393596],"study_design_scores_gemma":[0.001434946,0.001073642,0.001795116,0.0001771066,0.000141957,0.000003214876,0.0008741567,0.0769381,0.002400395,0.9085038,0.006487034,0.0001705486],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9205015,0.0002250759,0.07245905,0.003035768,0.002736222,0.0003809015,0.00000951338,0.00005270164,0.0005992455],"genre_scores_gemma":[0.9977205,0.00005761311,0.002025968,0.00003201599,0.0001196172,0.000006080739,0.000002737765,0.000009026805,0.00002640988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07721901,"threshold_uncertainty_score":0.6913254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1043036350811106,"score_gpt":0.4084930354796187,"score_spread":0.3041894003985081,"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."}}