{"id":"W4417470439","doi":"10.2139/ssrn.5744303","title":"<div> Evolutionary Market Intelligence Framework for Self-Adaptive Quantitative System</div>","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alpha Technologies (Canada)","funders":"","keywords":"Key (lock); Interpretability; Expert system; Order (exchange)","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","sts","open_science","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.007632743,0.001789222,0.001837368,0.001115284,0.004160418,0.0008150336,0.006545065,0.001521043,0.00009811389],"category_scores_gemma":[0.0006178133,0.001904519,0.001724682,0.002637832,0.0006142586,0.001311279,0.002609013,0.01104901,0.0002244226],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01373443,"about_ca_system_score_gemma":0.03224445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009433218,"about_ca_topic_score_gemma":0.000159883,"domain_scores_codex":[0.9832512,0.001326394,0.00309095,0.003203173,0.001917221,0.0072111],"domain_scores_gemma":[0.9875138,0.003162719,0.002873295,0.002312527,0.003446871,0.0006907568],"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":[0.0003525311,0.0008504968,0.00003408022,0.0003890345,0.002216232,0.00001484175,0.001165411,0.004454746,0.00001433587,0.9710888,0.001983356,0.0174361],"study_design_scores_gemma":[0.0004425667,0.001154289,0.000272041,0.001724898,0.0004369418,0.0008062039,0.002780433,0.3863547,0.00001994638,0.5947281,0.01007126,0.001208642],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001708151,0.04634408,0.9376541,0.003742894,0.004093838,0.003454657,0.0005156662,0.0004294937,0.0035944],"genre_scores_gemma":[0.1396525,0.04719425,0.7997933,0.0002633783,0.002923629,0.00181853,0.0001021513,0.000163032,0.008089222],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3819,"threshold_uncertainty_score":0.9997752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01781313271941549,"score_gpt":0.2843543834998253,"score_spread":0.2665412507804099,"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."}}