{"id":"W4406670499","doi":"10.1016/b978-0-08-057250-5.50015-x","title":"10.1016/b978-0-08-057250-5.50015-x","year":2000,"lang":"en","type":"book-chapter","venue":"Time to knit","topic":"Electromagnetic Compatibility and Noise Suppression","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"EMI; Filter (signal processing); Computer science; Engineering; Electromagnetic interference; Electrical engineering; Telecommunications","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006716765,0.001700735,0.0009822189,0.001563381,0.001057083,0.004092642,0.002145857,0.003271527,0.9660423],"category_scores_gemma":[0.001207369,0.0006484418,0.0006031963,0.001753598,0.0008898167,0.003935598,0.002118017,0.001731114,0.9825233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007368361,"about_ca_system_score_gemma":0.0007001598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002383804,"about_ca_topic_score_gemma":0.002834993,"domain_scores_codex":[0.9996877,0.0000195125,0.00001961983,0.00009756305,0.0001196008,0.00005594982],"domain_scores_gemma":[0.9988096,0.0003632117,0.00008686036,0.0001695539,0.0002492701,0.0003213808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009607983,0.00008725337,0.0002899188,0.0003587805,0.0000134373,0.0001082956,0.00008423306,0.0002951057,0.002593989,0.007839138,0.3729104,0.6153234],"study_design_scores_gemma":[0.000009857462,0.00003101118,0.0003488635,0.0001545046,0.000005321898,0.0001623576,0.00005764035,0.0001068464,0.0003268452,0.001032835,0.9977557,0.000008106757],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001746371,0.0004500836,0.001082091,0.0002464429,0.000174448,0.00002997374,0.0004446665,0.0007622416,0.9966354],"genre_scores_gemma":[0.0004787632,0.0002568215,0.0003284779,0.0000775916,0.00003147332,0.00001979483,0.0002599924,0.0001822719,0.9983647],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03395772,"threshold_uncertainty_score":0.04843646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005520135596356729,"score_gpt":0.1568121194349373,"score_spread":0.1512919838385806,"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."}}