{"id":"W974264278","doi":"","title":"超轻薄平台的十项全能赛——Intel CULV并肩Atom对战AMD Yukon","year":2009,"lang":"zh","type":"article","venue":"微型计算机","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007743983,0.0005089765,0.0006420054,0.0003958691,0.0002838968,0.0009372176,0.003152142,0.000242507,0.000615166],"category_scores_gemma":[0.0002037022,0.0004928244,0.0003721491,0.001822438,0.00013146,0.001439114,0.0005339144,0.000537137,0.008301709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001646922,"about_ca_system_score_gemma":0.0002283382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001299766,"about_ca_topic_score_gemma":0.00004270022,"domain_scores_codex":[0.995665,0.0002107874,0.0007469506,0.001300202,0.001051666,0.001025455],"domain_scores_gemma":[0.9961475,0.0001144126,0.0003179892,0.002737722,0.00023407,0.00044827],"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":[0.00003406077,0.0008124981,0.001669375,0.00004237862,0.0002297352,0.0004458607,0.001917008,0.0001922939,0.0008807529,0.2868386,0.1599305,0.547007],"study_design_scores_gemma":[0.002773173,0.001650045,0.06890788,0.0005691233,0.0006827608,0.0003037971,0.0003133403,0.3582253,0.003451508,0.09812804,0.4613515,0.003643529],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0167731,0.004939905,0.5403807,0.03080388,0.004133431,0.0008559748,0.0001290521,0.001161161,0.4008228],"genre_scores_gemma":[0.9644094,0.0002261081,0.01548206,0.006344622,0.0007686111,0.000006635081,0.00005415353,0.00003384167,0.0126746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9476363,"threshold_uncertainty_score":0.9997523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01762321975156046,"score_gpt":0.2702057628085732,"score_spread":0.2525825430570128,"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."}}