{"id":"W3012369157","doi":"10.6084/m9.figshare.11929629.v1","title":"Worldwide Trends in Computer Architectures for Data Science","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"IBM; Aerospace; Architecture; Computer science; Key (lock); Supercomputer; Focus (optics); State (computer science); Data science; Engineering management; Engineering; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001516886,0.0001216631,0.0001558099,0.0001525897,0.0001029021,0.0003206814,0.003956662,0.00002902137,0.0007719917],"category_scores_gemma":[0.0002895659,0.0001111275,0.00003796534,0.001350108,0.00001269952,0.0002173146,0.001387383,0.0001154323,0.0001693283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001892531,"about_ca_system_score_gemma":0.00010766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005842869,"about_ca_topic_score_gemma":0.000008206942,"domain_scores_codex":[0.9984847,0.00002772462,0.0001975215,0.0006865744,0.0002481397,0.0003553676],"domain_scores_gemma":[0.9988189,0.0001429648,0.00007200956,0.000760461,0.00005861435,0.0001469945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008337353,0.00003417985,0.000148293,0.0001202418,0.000007639565,0.00002717636,0.0008999031,0.01959261,0.00002652426,0.0004840599,0.7128038,0.2658473],"study_design_scores_gemma":[0.0002250945,0.00004461179,0.002097717,0.000194486,6.357282e-7,0.000005213383,0.000001350943,0.8576303,0.00004206217,0.00005601992,0.1395555,0.0001470137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002179065,0.0006732789,0.6501164,0.01401759,0.001180003,0.001391066,0.3208043,0.00176214,0.007876198],"genre_scores_gemma":[0.9459969,7.371141e-8,0.02483941,0.001509058,0.0004353779,0.00003647923,0.02713443,0.00001061896,0.00003765816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9438179,"threshold_uncertainty_score":0.8452767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1104270385893483,"score_gpt":0.3142649118481562,"score_spread":0.2038378732588079,"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."}}