{"id":"W2527113450","doi":"10.1007/b136266","title":"Computational Science and Its Applications – ICCSA 2005","year":2005,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":394,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Computational science; Theoretical computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001910189,0.001302246,0.001744479,0.003441934,0.0009190671,0.004134041,0.001335127,0.001041396,0.06089853],"category_scores_gemma":[0.003900204,0.0009328497,0.0007272589,0.005981127,0.001144333,0.003006015,0.002228045,0.002649586,0.03014975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002040581,"about_ca_system_score_gemma":0.002799243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006203743,"about_ca_topic_score_gemma":0.009319156,"domain_scores_codex":[0.9991053,0.0001495936,0.00005721445,0.0001384754,0.0004873605,0.00006211517],"domain_scores_gemma":[0.9974154,0.0005844305,0.00008804694,0.0005490751,0.001045049,0.0003179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005298128,0.000056884,0.0002598134,0.000329571,0.00002373679,0.00002946165,0.00004961094,0.003016164,0.0005128288,0.02799839,0.6852105,0.28246],"study_design_scores_gemma":[0.000007584969,0.00003081649,0.0008449609,0.0002797508,0.00002531018,0.0001418786,0.00003693132,0.008201757,0.0006863767,0.01977627,0.9699516,0.0000167271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005503199,0.1331843,0.2003156,0.01555902,0.03352971,0.0003717454,0.003865848,0.007199586,0.600471],"genre_scores_gemma":[0.02768142,0.08293104,0.06186086,0.001595065,0.008304639,0.0002753631,0.004987559,0.002055436,0.8103086],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06089853,"threshold_uncertainty_score":0.2037259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05567509002823586,"score_gpt":0.3527477389872752,"score_spread":0.2970726489590394,"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."}}