{"id":"W2356250314","doi":"","title":"Design and Create Saving Data Base on Embedded System","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Embedded Systems and FPGA Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Base (topology); Operating system; Embedded system; Process (computing); Computer hardware","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":[0.0002172093,0.0004779343,0.0002908926,0.0008327616,0.0005405713,0.001063126,0.0009336855,0.0003343541,0.005250009],"category_scores_gemma":[0.0004833132,0.0003681559,0.0003562793,0.0005103623,0.0002169756,0.001150484,0.0004863637,0.0004442495,0.001697772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003858,"about_ca_system_score_gemma":0.0006446319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001455021,"about_ca_topic_score_gemma":0.00131263,"domain_scores_codex":[0.9996377,0.00003054432,0.00002246688,0.00007876533,0.0001800625,0.00005032594],"domain_scores_gemma":[0.9998096,0.00001438088,0.000009566335,0.0000447897,0.0001072915,0.00001452567],"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":[0.0003590023,0.0001270396,0.003997433,0.0008734681,0.0001373094,0.000642835,0.001364238,0.01373976,0.180884,0.06918965,0.03533897,0.6933463],"study_design_scores_gemma":[0.0002047736,0.0004947209,0.002727068,0.0001415952,0.0002631184,0.001702927,0.0003617271,0.1089689,0.4161672,0.008975697,0.4598679,0.0001243832],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03586752,0.001086867,0.9178059,0.0003122085,0.0004530772,0.0003808711,0.0002391135,0.009143757,0.03471082],"genre_scores_gemma":[0.4019471,0.001732517,0.5216863,0.0005005795,0.0001706199,0.0007243175,0.001118404,0.00138403,0.07073604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005250009,"threshold_uncertainty_score":0.01756305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074989899883108,"score_gpt":0.2156864671979058,"score_spread":0.1949365681990747,"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."}}