{"id":"W6910728686","doi":"10.48550/arxiv.1604.05676","title":"Scientific Computing, High-Performance Computing and Data Science in Higher Education","year":2016,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curriculum; Higher education; Focus (optics); Science education; Curriculum development","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003182905,0.0003853674,0.0002918583,0.00378873,0.00216304,0.005499637,0.0005130346,0.00123577,0.01111493],"category_scores_gemma":[0.003649658,0.0001778436,0.000281283,0.01073591,0.003578321,0.002900252,0.002901512,0.002217811,0.003229355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004758617,"about_ca_system_score_gemma":0.01364678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01283394,"about_ca_topic_score_gemma":0.0248793,"domain_scores_codex":[0.9975197,0.0005296753,0.0001539996,0.0001499715,0.001091333,0.0005552625],"domain_scores_gemma":[0.9959775,0.001353293,0.0003881581,0.0001828891,0.0007998617,0.001298384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003690283,0.0001392131,0.009228319,0.001754951,0.00001300584,0.0001546583,0.002437459,0.001197867,0.001147835,0.3140099,0.09573176,0.5741481],"study_design_scores_gemma":[0.000002857968,0.00004874034,0.01012101,0.001000261,0.000004425916,0.0003232513,0.0022166,0.0003222559,0.0004670304,0.0309085,0.9545637,0.00002136317],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.03942425,0.3452021,0.03752709,0.08869909,0.005398188,0.0002100196,0.0009379512,0.0005877049,0.4820136],"genre_scores_gemma":[0.2756208,0.4765584,0.04331679,0.02223059,0.006284819,0.0002462131,0.0016542,0.0004205432,0.1736677],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01283394,"threshold_uncertainty_score":0.03718311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3102480597575762,"score_gpt":0.3149668112441217,"score_spread":0.004718751486545436,"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."}}