{"id":"W7106789985","doi":"10.48448/3cjr-w698","title":"LLM-Independent Adaptive RAG: Let the Question Speak for Itself","year":2025,"lang":"","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Language model; Adaptive system; Question answering; Key (lock); Natural language","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":[0.002925024,0.001061486,0.0008937313,0.0009637163,0.000641259,0.002304714,0.002154906,0.001924935,0.008453608],"category_scores_gemma":[0.01317707,0.0003643345,0.0009453965,0.0007426473,0.001397034,0.004388482,0.003529833,0.001959597,0.004951779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004974493,"about_ca_system_score_gemma":0.001185931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002173956,"about_ca_topic_score_gemma":0.002522659,"domain_scores_codex":[0.9982215,0.0007474233,0.00009272945,0.0004652305,0.0003552903,0.0001178606],"domain_scores_gemma":[0.9956049,0.001907264,0.0002768041,0.001597018,0.0004946808,0.0001193911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006210016,0.0002586013,0.003859833,0.0008317654,0.0002293818,0.0006378486,0.00091584,0.03695149,0.03940495,0.03074508,0.04202218,0.843522],"study_design_scores_gemma":[0.0001991512,0.000298196,0.002582033,0.0001517319,0.0001490723,0.001056411,0.0006238179,0.827025,0.03314146,0.08957658,0.04503299,0.0001635987],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02825363,0.002524059,0.9452887,0.002298987,0.0003762128,0.0002939465,0.0008616603,0.0102632,0.009839697],"genre_scores_gemma":[0.5433134,0.000861651,0.4352743,0.002512228,0.0004511816,0.0003071388,0.002768875,0.001387937,0.01312328],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.008453608,"threshold_uncertainty_score":0.02828014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05115213306335921,"score_gpt":0.3568443585429576,"score_spread":0.3056922254795984,"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."}}