{"id":"W3023613824","doi":"10.3217/jucs-016-06","title":"Computational science and its applications","year":2010,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Data science","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":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.006456825,0.00006748752,0.00007304079,0.0004634461,0.004081466,0.00326497,0.002080434,0.00002062683,0.004378931],"category_scores_gemma":[0.0060825,0.00006067806,0.00001706945,0.001895569,0.000457549,0.0004405545,0.002427788,0.0001669715,0.008928411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003128482,"about_ca_system_score_gemma":0.000009180068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002271201,"about_ca_topic_score_gemma":2.038464e-7,"domain_scores_codex":[0.9973634,0.00008999279,0.0002425802,0.0006647118,0.001409689,0.0002295603],"domain_scores_gemma":[0.9970036,0.0001348558,0.00009204259,0.0006390177,0.001934619,0.0001959028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006330751,0.00007684864,0.000006982085,0.000006328403,0.000004970234,0.000001552312,0.0004280913,0.0002842967,0.005140095,0.1489893,0.1792417,0.6658134],"study_design_scores_gemma":[0.0001209359,0.00002112776,0.001691667,0.000002021222,0.000002171455,0.00003647816,0.0001618208,0.0207812,0.00009724941,0.005640984,0.9713697,0.00007463845],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2451786,0.00008405225,0.1739928,0.007767397,0.001128351,0.00167116,0.0005164209,0.001642615,0.5680186],"genre_scores_gemma":[0.9969233,0.000002581216,0.001662278,0.0001469094,0.00008380671,4.12684e-8,0.0001366678,0.0001269541,0.0009174579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.792128,"threshold_uncertainty_score":0.9977697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1028557977957853,"score_gpt":0.3473734716316799,"score_spread":0.2445176738358946,"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."}}