{"id":"W2349329374","doi":"","title":"A System of Detecting and Processing Weak Magnetic Signals Based on STM32","year":2011,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"STM32; Computer science; Interface (matter); Power consumption; SIGNAL (programming language); Data acquisition; Signal processing; Power (physics); Computer hardware; Digital signal processing; Physics; Telecommunications; Operating system","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":[0.0006037427,0.0006910418,0.000795639,0.001048327,0.0005329966,0.0004109075,0.001158993,0.0008416317,0.00335287],"category_scores_gemma":[0.0007326357,0.000446971,0.0002315652,0.0004810778,0.0003025427,0.0007544319,0.0005290925,0.0006238564,0.001127263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00026848,"about_ca_system_score_gemma":0.0007242454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004733442,"about_ca_topic_score_gemma":0.0006720998,"domain_scores_codex":[0.9993132,0.00008905484,0.0000385196,0.0001378274,0.0003439035,0.00007754209],"domain_scores_gemma":[0.99955,0.00008685921,0.00004210733,0.00004869517,0.0002020391,0.00007020997],"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":[0.0003974063,0.0001126189,0.002097204,0.0004618799,0.00003924916,0.0002544363,0.0001337318,0.0009787235,0.8930765,0.002031673,0.003314268,0.09710223],"study_design_scores_gemma":[0.0004954437,0.005463015,0.01383751,0.00008029691,0.0003235149,0.004474811,0.0001720662,0.08239881,0.8284962,0.001653795,0.06236079,0.0002438367],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.248872,0.001988399,0.730774,0.0005361641,0.001032322,0.001013819,0.0006057615,0.00679457,0.008382975],"genre_scores_gemma":[0.6121206,0.0006388331,0.3768082,0.0003759809,0.0002362433,0.0006859705,0.000622336,0.000123332,0.008388323],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00335287,"threshold_uncertainty_score":0.01121652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000719634562626,"score_gpt":0.1953191613848513,"score_spread":0.1853119650392251,"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."}}