{"id":"W2149016656","doi":"10.1109/iembs.1990.691161","title":"Compound Digital Filtering Of The Magnetomyogram","year":2005,"lang":"en","type":"article","venue":"","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003084325,0.0005022309,0.0003494719,0.0004972151,0.0002447557,0.000636183,0.0001646369,0.0005276144,0.006955412],"category_scores_gemma":[0.001074061,0.0001319423,0.0003507452,0.0005526654,0.0002375012,0.0004634091,0.0002480671,0.0003902315,0.001587868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000317379,"about_ca_system_score_gemma":0.0004742872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001266294,"about_ca_topic_score_gemma":0.002735399,"domain_scores_codex":[0.9998755,0.00001534625,0.000006939127,0.00003817441,0.0000447862,0.00001923072],"domain_scores_gemma":[0.9997954,0.00009281952,0.00001205387,0.00003590743,0.00005103854,0.00001289305],"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":[0.001096171,0.00006816676,0.001316442,0.000290636,0.00006902049,0.0003189339,0.00009675449,0.01025423,0.3643697,0.01830423,0.003912637,0.5999031],"study_design_scores_gemma":[0.00008785744,0.0007149094,0.03508524,0.0001476678,0.0002240091,0.002701231,0.0001234887,0.4703657,0.4261972,0.01835574,0.04590648,0.00009036426],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08549611,0.001016717,0.9030473,0.0004695035,0.0005046125,0.0000677842,0.0006557379,0.001017131,0.007725105],"genre_scores_gemma":[0.4250368,0.00179695,0.5453579,0.0003332377,0.0004736761,0.0001057993,0.001179771,0.0002816481,0.02543419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006955412,"threshold_uncertainty_score":0.02326816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004478500284989526,"score_gpt":0.1768749569625608,"score_spread":0.1723964566775712,"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."}}