{"id":"W7125790666","doi":"10.21428/594757db.f73769f4","title":"Topology-Driven Solver Selection for Stochastic Shortest Path MDPs via Explainable Machine Learning","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Solver; Shortest path problem; Counterfactual thinking; Scheduling (production processes); Markov decision process; Selection (genetic algorithm); Robotics; Classifier (UML)","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.00008704291,0.0001159404,0.0001254704,0.00008892493,0.0004155629,0.00004532605,0.0003647957,0.00005400598,0.00001722927],"category_scores_gemma":[0.00003631303,0.0001109586,0.0000457509,0.0005161663,0.00003063555,0.0002474973,0.0001612431,0.0001655066,0.00001594709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006723117,"about_ca_system_score_gemma":0.0000380849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002558155,"about_ca_topic_score_gemma":0.00004962,"domain_scores_codex":[0.9990548,0.00002414317,0.000164711,0.0003877113,0.00007414438,0.0002944852],"domain_scores_gemma":[0.9993158,0.0002508184,0.00005433851,0.0002410439,0.00009173468,0.00004625906],"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":[0.00001837634,0.0001033556,0.001391678,0.00001382829,0.00003237575,0.000001008076,0.0001169099,0.5158818,0.004924465,0.4187204,0.00354752,0.05524826],"study_design_scores_gemma":[0.0001891112,0.00009658417,0.0001493484,0.000005930043,0.000007999007,0.000006128053,0.000009264072,0.9676384,0.0006373588,0.02283756,0.008310266,0.0001120988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005628929,0.00005061185,0.9960575,0.001330804,0.0001556154,0.0004380875,8.425507e-7,0.0003793643,0.00102436],"genre_scores_gemma":[0.8196554,0.000005032541,0.1732703,0.0005080035,0.00007491624,0.0003142576,0.00001163138,0.0000100847,0.006150363],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8227871,"threshold_uncertainty_score":0.4524761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01200291125055762,"score_gpt":0.2676481952313067,"score_spread":0.2556452839807491,"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."}}