{"id":"W2376271292","doi":"","title":"The Research and Realization based on LVS Stock Analysis Server Cluster","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Stock (firearms); Operating system; Computer cluster; Cluster (spacecraft)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005916438,0.0002523267,0.0002628712,0.0003542232,0.0007459476,0.001374983,0.001223773,0.0003686102,0.002977503],"category_scores_gemma":[0.0008663091,0.0001995515,0.0002443907,0.0005174288,0.0003851863,0.001699619,0.0006610908,0.0005071138,0.001087639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001357671,"about_ca_system_score_gemma":0.001952815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00624433,"about_ca_topic_score_gemma":0.003571926,"domain_scores_codex":[0.9994701,0.00009215462,0.00002224269,0.00009843856,0.000195758,0.0001213127],"domain_scores_gemma":[0.9995872,0.00003506338,0.00001759622,0.00007210557,0.0002202451,0.00006776004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001453844,0.0004575383,0.02714413,0.00053743,0.00009824564,0.0009602216,0.002870252,0.09054496,0.1828416,0.2375639,0.04564765,0.4098802],"study_design_scores_gemma":[0.0002133989,0.0008500983,0.01081817,0.00007239126,0.0001026535,0.0004164999,0.00152557,0.7160714,0.1158968,0.02459295,0.1293254,0.0001145475],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4932226,0.001183404,0.4364164,0.003345165,0.0005238183,0.000289439,0.0003405638,0.006338477,0.05834018],"genre_scores_gemma":[0.92033,0.0004567133,0.06356314,0.0001587227,0.00009640431,0.0001287381,0.0004035426,0.0001282896,0.01473444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00624433,"threshold_uncertainty_score":0.01241595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03193954127825702,"score_gpt":0.3529925202439241,"score_spread":0.3210529789656671,"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."}}