{"id":"W2485359403","doi":"10.1007/978-981-10-1454-3","title":"Modern Mathematical Methods and High Performance Computing in Science and Technology","year":2016,"lang":"en","type":"book","venue":"Springer proceedings in mathematics & statistics","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Management science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009027829,0.001500961,0.002164198,0.001695423,0.0006952225,0.00309957,0.001240792,0.002014867,0.02125956],"category_scores_gemma":[0.002891142,0.0006384137,0.0007320201,0.002842474,0.002288994,0.004153338,0.001800425,0.004504292,0.01181112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089194,"about_ca_system_score_gemma":0.001238656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000530016,"about_ca_topic_score_gemma":0.0005244016,"domain_scores_codex":[0.9992715,0.0001570082,0.00004573461,0.00009199066,0.0003938994,0.00003984607],"domain_scores_gemma":[0.9986734,0.00077227,0.00007709528,0.0001963835,0.0002294933,0.00005125705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001428612,0.00003900651,0.0001011007,0.0006778497,0.00003309865,0.00004334543,0.00009949023,0.004240785,0.0009425036,0.7596675,0.1038069,0.1303342],"study_design_scores_gemma":[0.000009574712,0.00001758092,0.0002058281,0.0001365479,0.00001640226,0.0001423613,0.00002614869,0.01573692,0.000450301,0.7272997,0.2559416,0.00001697565],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.002511529,0.2339191,0.5648968,0.01376901,0.01069035,0.000093435,0.0004391429,0.001099306,0.1725814],"genre_scores_gemma":[0.06591521,0.2296111,0.2946258,0.005045061,0.02152144,0.0006826809,0.0007670305,0.001691244,0.3801405],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02125956,"threshold_uncertainty_score":0.07112026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01564522376827956,"score_gpt":0.299730405321933,"score_spread":0.2840851815536535,"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."}}