{"id":"W1792129892","doi":"","title":"Towards the profiling of scientific software for accuracy","year":2011,"lang":"en","type":"article","venue":"Conference of the Centre for Advanced Studies on Collaborative Research","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"","keywords":"Computer science; Software; Profiling (computer programming); Pareto principle; Search-based software engineering; Propagation of uncertainty; Software quality; Code (set theory); Pareto analysis; Software sizing; Data mining; Software construction; Software development; Reliability engineering; Set (abstract data type); Algorithm; Mathematical optimization; Engineering; Mathematics; Programming language","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003691468,0.0001787047,0.0004350216,0.0001961144,0.001187414,0.0001215696,0.002741841,0.00005578158,0.000006633163],"category_scores_gemma":[0.03101276,0.00009636798,0.0002003895,0.003283423,0.001868597,0.0003224267,0.000997157,0.0002790038,0.000002635914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001294147,"about_ca_system_score_gemma":0.001431199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007416836,"about_ca_topic_score_gemma":0.00006801778,"domain_scores_codex":[0.9966637,0.0005417406,0.0004765496,0.0006080609,0.00110539,0.0006044905],"domain_scores_gemma":[0.9735672,0.005734278,0.0003376358,0.001384655,0.01889177,0.00008441536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001420163,0.001036991,0.001977554,0.001637213,0.0009767707,0.00000145883,0.03916065,0.0007904778,0.0159494,0.7105266,0.003990537,0.2225322],"study_design_scores_gemma":[0.001125366,0.0008710425,0.0003494774,0.0004813421,0.00002941014,2.750157e-7,0.01929597,0.005171055,0.8311,0.1357553,0.005578712,0.0002420676],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.337532,0.008849376,0.5745205,0.03830775,0.004381979,0.0314865,0.001982273,0.0003080626,0.002631513],"genre_scores_gemma":[0.9456463,0.0003061903,0.05250831,0.00002022246,0.00003176336,0.000585403,0.000004538726,0.00001438711,0.000882864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8151506,"threshold_uncertainty_score":0.9771494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.255076314978505,"score_gpt":0.4263618873435315,"score_spread":0.1712855723650265,"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."}}