{"id":"W4213286017","doi":"10.1007/11751649","title":"Computational Science and Its Applications - ICCSA 2006","year":2006,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":5,"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":[0.00158886,0.001405384,0.002122868,0.0030901,0.0009071343,0.004118154,0.001268841,0.001069311,0.05789037],"category_scores_gemma":[0.003307126,0.0009116681,0.0008183495,0.006182829,0.001066706,0.002975864,0.002397211,0.003174019,0.03094255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001667621,"about_ca_system_score_gemma":0.002231718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00334393,"about_ca_topic_score_gemma":0.00562598,"domain_scores_codex":[0.9992012,0.000136532,0.0000493263,0.0001168738,0.000442546,0.00005355463],"domain_scores_gemma":[0.9977347,0.0006145073,0.00007276651,0.0004694538,0.0008330403,0.0002755258],"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":[0.00005168389,0.00007150036,0.000254448,0.0004493701,0.00002762171,0.00003177742,0.00005507149,0.002916989,0.000602486,0.03447587,0.6600216,0.3010415],"study_design_scores_gemma":[0.000008846163,0.00003922664,0.0008567734,0.0003420125,0.00002587663,0.0002076342,0.00004205804,0.008564822,0.0007288351,0.03207596,0.9570884,0.0000195393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004422409,0.1563099,0.1958291,0.0137783,0.03432174,0.0003740474,0.003557179,0.005556662,0.5858507],"genre_scores_gemma":[0.02581916,0.1059762,0.07050058,0.001686583,0.009529006,0.0003456147,0.005002396,0.002221194,0.7789192],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05789037,"threshold_uncertainty_score":0.1936626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04817489263326968,"score_gpt":0.3399309816177417,"score_spread":0.291756088984472,"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."}}