{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00312436,0.0004368271,0.0007565241,0.001454496,0.0001790476,0.0003515252,0.001198442,0.0003319016,0.000002166181],"category_scores_gemma":[0.001017919,0.0003927522,0.00001464521,0.0006334555,0.0008251264,0.0003597695,0.001686029,0.0006531234,0.000005520431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003364048,"about_ca_system_score_gemma":0.0003819445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001202998,"about_ca_topic_score_gemma":6.604839e-7,"domain_scores_codex":[0.9969841,0.00001546257,0.0008907592,0.0008941276,0.0006005071,0.0006150138],"domain_scores_gemma":[0.9979795,0.0004569999,0.0005042798,0.0003791403,0.0005650105,0.0001150609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001703754,0.00005350215,0.000162069,0.001385071,0.000008957895,0.00001168275,0.002217237,0.00001945444,0.0001724871,0.891243,0.000223494,0.1045013],"study_design_scores_gemma":[0.0001691603,0.00004309911,0.00005860263,0.001194454,0.000007195375,0.00004185779,0.00001452569,0.47431,0.0003114219,0.5233756,0.0001591548,0.0003148953],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001513092,0.0002121016,0.9788094,0.0001415192,0.00007453644,0.0004656225,0.000005752931,0.0003148768,0.01846306],"genre_scores_gemma":[0.005731446,0.0003721188,0.989386,0.00003657479,0.00003044073,0.00002155021,7.482919e-7,0.00004868146,0.004372401],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4742906,"threshold_uncertainty_score":0.9998524,"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."}}