{"id":"W2365354354","doi":"","title":"Design of ECG Signal Sampling System Based on ATmega168V","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Sampling (signal processing); Frame (networking); SIGNAL (programming language); Software; Realization (probability); Computer hardware; Filter (signal processing); Flow chart; Signal-flow graph; Digital signal; Simple (philosophy); Chart; Real-time computing; Embedded system; Digital signal processing; Telecommunications; Electrical engineering; Computer vision; Engineering drawing","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":[0.0005061142,0.0005807038,0.0007382133,0.001108219,0.0003677436,0.0006858628,0.001261643,0.0005457813,0.0055192],"category_scores_gemma":[0.0006832015,0.0002800724,0.0002453178,0.0004475551,0.0001765486,0.0006170048,0.000379358,0.0003972868,0.001591889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003190113,"about_ca_system_score_gemma":0.0003886526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004840871,"about_ca_topic_score_gemma":0.0003421437,"domain_scores_codex":[0.9992164,0.0001361415,0.00007282796,0.0002037997,0.0002865164,0.0000843721],"domain_scores_gemma":[0.9996995,0.00005082102,0.00003461045,0.00002463147,0.0001574095,0.00003309126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002271305,0.0003089592,0.01229706,0.001347903,0.0002408282,0.001405202,0.0006904507,0.004968738,0.4709892,0.01345304,0.02253178,0.4694957],"study_design_scores_gemma":[0.001359627,0.006199548,0.02931434,0.0003093593,0.0009734732,0.01416626,0.0002774131,0.161129,0.5768847,0.005301632,0.203633,0.0004518262],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06904726,0.001918963,0.8980909,0.0006973009,0.0008762245,0.001061135,0.0006465945,0.01361718,0.01404436],"genre_scores_gemma":[0.6734146,0.001267886,0.3094959,0.0008507563,0.0006710137,0.00115572,0.001137376,0.0003060493,0.01170061],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0055192,"threshold_uncertainty_score":0.01846361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131262681337696,"score_gpt":0.2230151163771025,"score_spread":0.2098888482433329,"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."}}