{"id":"W2047771187","doi":"10.1145/1094855.1094902","title":"Scopira","year":2005,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Porting; Computer science; Visualization; MATLAB; Software engineering; Open source; Software; Open source software; Data visualization; Programming language; Computer graphics (images); Computational science; Engineering drawing; Data mining; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00006850876,0.00003199593,0.00003212271,0.00003324484,0.00003631992,0.00005415253,0.0003317457,0.00001421144,0.00003083655],"category_scores_gemma":[0.000005529076,0.00002713548,0.00001396622,0.0001083573,0.000005714462,0.0001837017,0.00007797297,0.00002507608,0.0001732435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007809605,"about_ca_system_score_gemma":0.00001112579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002271457,"about_ca_topic_score_gemma":7.873372e-7,"domain_scores_codex":[0.99969,0.0000089179,0.00006116238,0.0001009403,0.00006063603,0.00007837109],"domain_scores_gemma":[0.9997348,0.00001022863,0.00001290015,0.0001959731,0.00002030711,0.00002581043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[3.836707e-7,0.00003792729,0.0001856472,0.000001500293,0.000002881155,0.000001142407,0.0001385574,0.007754093,0.00009594389,0.6181676,0.05688071,0.3167336],"study_design_scores_gemma":[0.00008442061,0.00001930254,0.0002082222,0.000004019317,3.329369e-7,0.000005636003,8.222804e-7,0.8839524,0.01019587,0.002409452,0.1030173,0.0001022461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002249628,0.00002905001,0.8885472,0.001655408,0.0000275797,0.00002042958,1.731944e-8,0.0008411303,0.1086543],"genre_scores_gemma":[0.2517137,0.000004169423,0.7450094,0.001153498,0.00003331139,0.000001203633,1.125499e-7,0.000001262879,0.00208335],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8761984,"threshold_uncertainty_score":0.2226752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0146600772743306,"score_gpt":0.2607403526573387,"score_spread":0.2460802753830081,"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."}}