{"id":"W2065434574","doi":"10.1109/mcse.2009.206","title":"Software Engineering and Computational Science","year":2009,"lang":"en","type":"article","venue":"Computing in Science & Engineering","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Software engineering; Software; Computational science; 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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01251513,0.000201933,0.0002508493,0.002169002,0.0005101156,0.001704184,0.002147989,0.00002955241,0.000007512488],"category_scores_gemma":[0.01097463,0.0001871498,0.00003818514,0.007515346,0.000459197,0.00111796,0.0008859767,0.0002252741,0.00002785893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001802562,"about_ca_system_score_gemma":0.0002002432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007389022,"about_ca_topic_score_gemma":6.507369e-7,"domain_scores_codex":[0.9947951,0.00001624203,0.0006359467,0.001324559,0.002412031,0.0008161111],"domain_scores_gemma":[0.9977497,0.0007835283,0.0001170953,0.0007426057,0.0003243947,0.000282603],"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":[0.000001131775,0.00001844409,0.005689329,0.000002450084,6.623117e-7,0.000009139224,0.0004609326,0.9441501,0.002241602,0.01249173,0.00007528233,0.03485913],"study_design_scores_gemma":[0.0001232165,0.00002002286,0.2805359,0.00005031926,0.00000101305,0.00001787804,0.00006057589,0.7175173,0.0001822862,0.0007146324,0.0006050292,0.000171794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7504489,0.0000708978,0.2479155,0.0001503865,0.0009073687,0.0001099659,0.000001204965,0.0001838585,0.0002118839],"genre_scores_gemma":[0.9048296,7.745545e-7,0.09498135,0.00009599368,0.00006392814,7.303258e-7,7.501e-7,0.000006056714,0.00002081842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2748466,"threshold_uncertainty_score":0.9993321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04432725835093662,"score_gpt":0.3363456757774831,"score_spread":0.2920184174265464,"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."}}