{"id":"W7106150544","doi":"10.48550/arxiv.2511.14432","title":"Mutation Testing for Industrial Robotic Systems","year":2025,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Chicoutimi","funders":"","keywords":"Mutation; Software; Reliability (semiconductor); Process (computing); Robot; Industrial robot; Quality (philosophy); Mutation testing","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":[0.001237686,0.0006759191,0.0008193968,0.0007367097,0.0007200871,0.0006170331,0.002523574,0.0009131177,0.000003738001],"category_scores_gemma":[0.003323186,0.0008718206,0.0003476199,0.002166002,0.000179841,0.0004876438,0.001805762,0.0009917486,0.00002323492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006772684,"about_ca_system_score_gemma":0.001365719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001296961,"about_ca_topic_score_gemma":0.000008614282,"domain_scores_codex":[0.9957338,0.0003979114,0.0006783695,0.002230669,0.0001726792,0.000786586],"domain_scores_gemma":[0.9919907,0.003999846,0.000941498,0.001694542,0.001122463,0.0002508883],"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":[0.00006480569,0.0001437028,0.007047988,0.0005726033,0.0001564653,0.0001957948,0.0002220647,0.9289629,0.000005443383,0.04885556,0.003577162,0.01019555],"study_design_scores_gemma":[0.0009168389,0.000320087,0.000181391,0.002120903,0.0003019104,0.0000236525,0.00003255229,0.9278353,0.0000331342,0.0672738,0.0002042625,0.0007561445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009063968,0.0001069169,0.9761292,0.00006714535,0.004270304,0.001864941,0.00004246009,0.007195032,0.001260066],"genre_scores_gemma":[0.955827,0.00001471994,0.0401056,0.00005899642,0.0004480622,0.00001618783,0.00003336926,0.0000309481,0.003465096],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.946763,"threshold_uncertainty_score":0.9993733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2405765138972446,"score_gpt":0.2310741415203771,"score_spread":0.00950237237686749,"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."}}