{"id":"W2355972477","doi":"","title":"Design of Electrolyte Analyzer Based on C8051F350","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; ARM9; Spectrum analyzer; Reliability (semiconductor); Interface (matter); Electrolyte; Chip; Stability (learning theory); Computer hardware; Embedded system; Electrode; Telecommunications; Operating system; Chemistry","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":[0.0007026839,0.001148882,0.001041974,0.001515397,0.0005542305,0.0009362448,0.003338293,0.001160043,0.003920642],"category_scores_gemma":[0.0009076288,0.0006202591,0.0003937506,0.0005424895,0.0003160874,0.001075393,0.0005356664,0.0004450042,0.00203838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000709686,"about_ca_system_score_gemma":0.0008354703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00122133,"about_ca_topic_score_gemma":0.001083159,"domain_scores_codex":[0.9985828,0.0001311699,0.00008133864,0.0004552056,0.0006228756,0.0001267258],"domain_scores_gemma":[0.9993522,0.0001186607,0.00007163957,0.00005613431,0.0003406565,0.00006079038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007199376,0.000163767,0.004693206,0.000779625,0.0001323668,0.0005409454,0.0001967765,0.002263961,0.7874963,0.0061595,0.009603632,0.1872499],"study_design_scores_gemma":[0.0002851317,0.002127748,0.0091272,0.00006711166,0.0004147698,0.00582295,0.00006878046,0.07264675,0.8260083,0.001558845,0.08156545,0.000306942],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08239812,0.001983969,0.8822556,0.0005116478,0.0008692018,0.0007858041,0.0006906775,0.01570992,0.01479508],"genre_scores_gemma":[0.5158979,0.0008331459,0.462356,0.001244245,0.0003306621,0.0007204179,0.001025415,0.0003570141,0.01723511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003920642,"threshold_uncertainty_score":0.01311588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01705410430725783,"score_gpt":0.2363317536262797,"score_spread":0.2192776493190218,"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."}}