{"id":"W7133027813","doi":"","title":"Interpretable and Constrained Machine Learning via Combinatorial Optimization","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Domain (mathematical analysis); Variety (cybernetics); Transformative learning; Instance-based learning; Computational learning theory; Domain knowledge; Deep learning","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"],"consensus_categories":[],"category_scores_codex":[0.0007992202,0.0006902717,0.0007722494,0.0005051601,0.0008958384,0.0009756475,0.0009606241,0.0005720952,0.0007330945],"category_scores_gemma":[0.0009555978,0.0008182852,0.0001501649,0.001205271,0.0001424813,0.0008602208,0.0004176703,0.001157854,0.00007342101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001899243,"about_ca_system_score_gemma":0.0005800222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00120272,"about_ca_topic_score_gemma":0.0001306597,"domain_scores_codex":[0.9961544,0.0004199871,0.0008307237,0.001290412,0.0005437565,0.0007606969],"domain_scores_gemma":[0.9972264,0.000515364,0.00063342,0.0005910756,0.0007800995,0.0002536901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001152089,0.0007462995,0.0003528409,0.001919281,0.0006103705,0.0001834426,0.1100177,0.4800016,0.01149819,0.2828183,0.0003843475,0.1103156],"study_design_scores_gemma":[0.0004267176,0.0003746463,0.000006372497,0.0005671681,0.0001052451,0.00001324441,0.003745348,0.9750282,0.01558128,0.002030523,0.001440608,0.0006806121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005052735,0.002387933,0.9564523,0.0006750416,0.006316801,0.001016649,0.000005870957,0.0002949883,0.02779774],"genre_scores_gemma":[0.9156608,0.001352877,0.02441134,0.0001731422,0.0002644345,0.00008940512,0.000397154,0.00007801819,0.05757281],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9320409,"threshold_uncertainty_score":0.9994268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01533767424158137,"score_gpt":0.3045177227674565,"score_spread":0.2891800485258751,"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."}}