{"id":"W2378736769","doi":"","title":"Application of Direct Digital Synthesis Technology In An Intelligent Metal Detector","year":2005,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sine; Detector; Computer science; Phase (matter); SIGNAL (programming language); Chip; Direct digital synthesizer; Electronic circuit; Function (biology); Electronic engineering; Phase-locked loop; Electrical engineering; Telecommunications; Physics; Mathematics","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":[0.0003193786,0.0002945747,0.0001767718,0.0003971052,0.0002139037,0.0005666693,0.0004257979,0.0002970304,0.002027811],"category_scores_gemma":[0.0005905916,0.0002047789,0.000162314,0.0002514861,0.0003430832,0.0003763954,0.0002624517,0.0002070623,0.0005791649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004227281,"about_ca_system_score_gemma":0.0003862063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002969509,"about_ca_topic_score_gemma":0.0004869152,"domain_scores_codex":[0.999696,0.00004673876,0.00001784238,0.00007953922,0.0001317938,0.00002806941],"domain_scores_gemma":[0.9997744,0.00007387497,0.0000338815,0.00003533307,0.00006999806,0.00001254415],"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":[0.0002656417,0.00007840202,0.0009747964,0.0002592427,0.00002573041,0.0001694729,0.0001975349,0.006900637,0.7143155,0.02385849,0.001522539,0.251432],"study_design_scores_gemma":[0.0001448626,0.001270106,0.001506623,0.00004921111,0.0001082903,0.001197352,0.00005641263,0.08369897,0.8324553,0.00662277,0.07283799,0.00005217365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07963092,0.0007135837,0.8933772,0.0002985877,0.0002226797,0.000140389,0.00007807079,0.001901433,0.02363723],"genre_scores_gemma":[0.5887663,0.0002803761,0.4036606,0.0002133343,0.00006872636,0.00008218858,0.00006929479,0.00005584228,0.006803297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002027811,"threshold_uncertainty_score":0.006783724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008293469423913104,"score_gpt":0.2392632182777425,"score_spread":0.2309697488538294,"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."}}