{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001975559,0.001305005,0.001911367,0.003484509,0.001021152,0.004517688,0.001412553,0.001123769,0.06508326],"category_scores_gemma":[0.003964691,0.001018916,0.0007722669,0.00638485,0.001259998,0.003303929,0.002284673,0.002954541,0.03188047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002139359,"about_ca_system_score_gemma":0.002782533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006199867,"about_ca_topic_score_gemma":0.008882804,"domain_scores_codex":[0.9990298,0.0001794686,0.00005939615,0.0001536984,0.0005096166,0.0000681062],"domain_scores_gemma":[0.9969432,0.0007094289,0.00009680818,0.0006635333,0.001214778,0.0003721937],"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":[0.00006267439,0.00006610939,0.0003026696,0.0003295118,0.00002658015,0.00003138628,0.00005063613,0.002922115,0.0006210512,0.02790845,0.7006786,0.2670002],"study_design_scores_gemma":[0.000008453909,0.00003216992,0.000808118,0.0002216114,0.00002823562,0.0001608031,0.00003744796,0.007960007,0.0007154563,0.02133222,0.9686788,0.0000168026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006055046,0.1206731,0.1921692,0.01866218,0.03553502,0.0003569007,0.003661717,0.007630648,0.6152562],"genre_scores_gemma":[0.02393399,0.07204228,0.05773539,0.001490297,0.008338674,0.0002556424,0.004456274,0.002117672,0.8296298],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06508326,"threshold_uncertainty_score":0.2177252,"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."}}