{"id":"W4380048657","doi":"10.1007/s10472-023-09844-3","title":"Quantifying the relationship between software design principles and performance in Jason: a case study with simulated mobile robots","year":2023,"lang":"en","type":"article","venue":"Annals of Mathematics and Artificial Intelligence","topic":"Software Engineering Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Maintainability; Cyclomatic complexity; Cohesion (chemistry); Computer science; Code (set theory); Separation of concerns; Coupling (piping); Software; Software engineering; Artificial intelligence; Reliability engineering; Programming language; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003563811,0.0005670443,0.0003582957,0.0009501495,0.001180171,0.001844283,0.001035563,0.001428362,0.001624818],"category_scores_gemma":[0.01743629,0.00034446,0.000293055,0.0007911311,0.001692745,0.001790896,0.001257435,0.0008679922,0.0002729396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001928905,"about_ca_system_score_gemma":0.00141462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005178253,"about_ca_topic_score_gemma":0.01056769,"domain_scores_codex":[0.9985747,0.0007869708,0.00006068664,0.000139658,0.000282409,0.0001555219],"domain_scores_gemma":[0.976473,0.01920835,0.001435154,0.0007438102,0.001337694,0.0008019445],"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":[0.005886991,0.009951797,0.2315349,0.0008999109,0.0002927448,0.002699954,0.02339476,0.5536707,0.03196195,0.02404986,0.002353506,0.1133029],"study_design_scores_gemma":[0.0004777112,0.01199559,0.1336518,0.0001106759,0.0002391091,0.0004493025,0.02035608,0.7955183,0.02061968,0.01055467,0.005791979,0.0002350239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973843,0.00001315256,0.001349017,0.00004934349,0.0000019465,0.00002959273,0.00001516353,0.00001653226,0.001140955],"genre_scores_gemma":[0.9950294,0.00002006013,0.004226461,0.000007875846,0.000001385528,0.00003943387,0.00003573698,0.00001131439,0.0006283664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005178253,"threshold_uncertainty_score":0.01884741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4450014916976675,"score_gpt":0.4113975001879414,"score_spread":0.03360399150972609,"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."}}