{"id":"W3017697635","doi":"10.5539/cis.v13n2p43","title":"Elemental Design Base of Chinese Supercomputer Technologies","year":2020,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supercomputer; Microprocessor; Computer science; Government (linguistics); China; State (computer science); Chinese academy of sciences; Production (economics); Server; Operating system; Embedded system; Political science; Economics; Algorithm; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004686812,0.0001200395,0.0001461748,0.0002078098,0.0001805753,0.0002848892,0.0009594778,0.00003096512,0.000002533311],"category_scores_gemma":[0.00006751681,0.0000959073,0.00003109417,0.00130798,0.0002876073,0.005071431,0.001070257,0.0001028532,0.00001713771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000120979,"about_ca_system_score_gemma":0.00007529408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001122849,"about_ca_topic_score_gemma":3.366396e-8,"domain_scores_codex":[0.9988875,0.000025199,0.0003070333,0.000235218,0.0003261431,0.0002188632],"domain_scores_gemma":[0.9992471,0.0001022594,0.0001009464,0.0002192796,0.0002334376,0.00009700001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000101552,0.00002376576,0.002676765,0.00003776951,0.000006982534,0.000002008641,0.005244154,0.002461943,0.0006104039,0.01272024,0.001012676,0.9751931],"study_design_scores_gemma":[0.0002716373,0.0001975698,0.005498186,0.00001679122,0.000001069489,0.00001384865,0.00004603047,0.9903727,0.00225275,0.000443343,0.0007556271,0.0001304713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03979121,0.00004705241,0.95809,0.001118392,0.0002002994,0.0001342071,0.000001390411,0.000272451,0.0003450135],"genre_scores_gemma":[0.8144634,0.000023597,0.1842334,0.001240447,0.00003406627,0.000002123192,0.000001127553,0.00000141229,4.41085e-7],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9879107,"threshold_uncertainty_score":0.3910986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02012892951280815,"score_gpt":0.2368689748688048,"score_spread":0.2167400453559967,"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."}}