{"id":"W4414406028","doi":"10.1109/icctdc64446.2025.11158817","title":"GenAI for Investment Recommendations Using RSS Feed","year":2025,"lang":"en","type":"article","venue":"","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"RSS; Pipeline (software); Categorization; Natural language; Investment (military); Simple (philosophy)","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005101901,0.00009832576,0.000191404,0.0003804521,0.0002948705,0.0001912169,0.0004500957,0.00005178497,0.0006708831],"category_scores_gemma":[0.01201145,0.00007295568,0.0001117331,0.001010617,0.00003503987,0.0001395219,0.0001743115,0.00005836604,0.00002392683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009083516,"about_ca_system_score_gemma":0.0001544963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003541892,"about_ca_topic_score_gemma":0.00002956517,"domain_scores_codex":[0.9982803,0.0002783899,0.0005157215,0.000377314,0.0003326433,0.0002155561],"domain_scores_gemma":[0.9936531,0.005361962,0.0001270796,0.000485224,0.0003075393,0.0000651186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000577163,0.00008422343,0.005134446,0.00001313956,0.00005822052,4.98547e-7,0.0002481751,0.0001501434,0.002230186,0.1177496,0.4083087,0.4659649],"study_design_scores_gemma":[0.0006032346,0.00003989925,0.003169995,0.00003497941,0.00003143618,0.000002944095,0.000598597,0.1220173,0.003689717,0.4571062,0.412528,0.0001776745],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01666201,0.00003251692,0.8414989,0.004982998,0.001370481,0.000452618,0.000009854268,0.0000638202,0.1349268],"genre_scores_gemma":[0.02271264,0.000001297585,0.928371,0.00424864,0.00006260799,0.00005855538,0.000003629174,0.000009468728,0.04453215],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4657873,"threshold_uncertainty_score":0.9963108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3362675229808113,"score_gpt":0.5208388340384507,"score_spread":0.1845713110576394,"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."}}