{"id":"W7125610042","doi":"10.1109/wsc68292.2025.11339045","title":"Using Adaptive Basis Search Method in Quasi-Regression to Interpret Black-Box Models","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Basis (linear algebra); Interpretation (philosophy); Perspective (graphical); Feature (linguistics); Component (thermodynamics)","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":[0.003657224,0.0006698329,0.001305691,0.0007573579,0.0004542345,0.0008843548,0.001396581,0.001272184,0.003098364],"category_scores_gemma":[0.01074005,0.0006879603,0.000827719,0.0006898778,0.001120242,0.001793792,0.00127364,0.001898595,0.0005983294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004787084,"about_ca_system_score_gemma":0.001503085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003316547,"about_ca_topic_score_gemma":0.003388435,"domain_scores_codex":[0.998914,0.0007478484,0.00003487588,0.0001013876,0.000151545,0.00005023745],"domain_scores_gemma":[0.9965396,0.002647968,0.0001681921,0.0002496206,0.0003180616,0.00007663873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001447818,0.0001048406,0.000872778,0.0002386825,0.0001527798,0.0001402825,0.0001465181,0.6651341,0.004940109,0.2681893,0.002342046,0.0575938],"study_design_scores_gemma":[0.000004692465,0.000007546057,0.00004171991,0.000004918317,0.000003990982,0.000004557319,0.000002637891,0.9791964,0.0001388035,0.02039875,0.0001923161,0.000003698106],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003071994,0.00006107801,0.9964635,0.00005711205,0.00002047104,0.000008029942,0.00001292013,0.00009423093,0.0002106935],"genre_scores_gemma":[0.2559494,0.0004170344,0.7378801,0.0002104724,0.0000953417,0.0002341424,0.0002050519,0.0004508692,0.004557663],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003657224,"threshold_uncertainty_score":0.01934147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2689770689149226,"score_gpt":0.5320417191793192,"score_spread":0.2630646502643966,"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."}}