{"id":"W6929188261","doi":"10.48550/arxiv.2507.06446","title":"On Regular Regressors in Adaptive Control","year":2025,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Property (philosophy); Class (philosophy); Adaptive control; Construct (python library); Characterization (materials science); Control (management)","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":[0.001916373,0.0009018892,0.0008641705,0.0007740182,0.0005264675,0.001131853,0.0006623988,0.001374177,0.003498247],"category_scores_gemma":[0.005269103,0.0003575681,0.0006935087,0.0006355994,0.003628273,0.002489013,0.001669838,0.002652502,0.0005679278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009964776,"about_ca_system_score_gemma":0.0005588591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001562189,"about_ca_topic_score_gemma":0.0008137127,"domain_scores_codex":[0.9990463,0.0003422312,0.00004308185,0.0002305452,0.0002531035,0.00008476134],"domain_scores_gemma":[0.9975467,0.001709874,0.0001918901,0.0001800737,0.0002581198,0.0001131943],"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":[0.00004030221,0.00001739308,0.0002937362,0.00009836641,0.00002325814,0.00007033277,0.00009531307,0.06189301,0.001746641,0.9191566,0.001204232,0.01536073],"study_design_scores_gemma":[0.00001472475,0.00006317391,0.0002421376,0.00004235702,0.0000107623,0.00004321662,0.00002903394,0.2258155,0.0006572416,0.7669618,0.00609841,0.00002173638],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01836641,0.004739563,0.9506218,0.002365119,0.0003206496,0.00002478535,0.0001012568,0.0001442013,0.02331626],"genre_scores_gemma":[0.8421596,0.01015963,0.1165234,0.001320082,0.001874222,0.000188021,0.0002473283,0.0002720402,0.02725569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003498247,"threshold_uncertainty_score":0.01170284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03988996589677602,"score_gpt":0.2042556742569055,"score_spread":0.1643657083601295,"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."}}