{"id":"W2496364950","doi":"10.1007/b98048","title":"Computational Science and Its Applications – ICCSA 2004","year":2004,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":295,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.01236372,0.0004310186,0.0005061894,0.002859002,0.001255288,0.003120203,0.005995569,0.0001556579,0.00005165393],"category_scores_gemma":[0.003148356,0.0003565829,0.00008128124,0.006885955,0.00361544,0.0009464113,0.003401548,0.0005709041,0.0002787237],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00148141,"about_ca_system_score_gemma":0.008869852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001378998,"about_ca_topic_score_gemma":0.00003282947,"domain_scores_codex":[0.988079,0.00006165602,0.0009567149,0.003456083,0.0066075,0.0008391156],"domain_scores_gemma":[0.9932402,0.00214357,0.0004705099,0.001915395,0.001858086,0.0003722651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000308103,0.00005202854,0.00003954973,0.00002099264,0.000003941611,0.00001473289,0.0004448992,0.4448865,0.00002354994,0.009511872,0.001051741,0.5439471],"study_design_scores_gemma":[0.0002630275,0.00005384833,0.0004862967,0.000145534,0.000008121573,0.00004596213,0.000001471207,0.5471677,0.00007695797,0.4135988,0.03768663,0.0004657031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002568836,0.0006794239,0.98981,0.001128985,0.001737887,0.0007756208,0.00004367059,0.0001013415,0.005466213],"genre_scores_gemma":[0.5342914,0.00003931058,0.4412197,0.006295525,0.00210978,0.0001192524,0.0001005835,0.00009243411,0.01573196],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5485902,"threshold_uncertainty_score":0.9998886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05407763662381332,"score_gpt":0.347890961164756,"score_spread":0.2938133245409427,"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."}}