{"id":"W3128621222","doi":"10.23919/usnc/ursi49741.2020.9321659","title":"Step-Recovery Diode Pulse Generators for Time-Domain Microwave Breast Screening","year":2020,"lang":"en","type":"article","venue":"","topic":"Microwave Imaging and Scattering Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Pulse generator; Time domain; Diode; Microwave; Nanosecond; Full width at half maximum; Impulse generator; Step recovery diode; Pulse-width modulation; Generator (circuit theory); Optoelectronics; Materials science; PIN diode; Impulse (physics); Electrical engineering; Computer science; Optics; Physics; Laser; Voltage; Engineering; Telecommunications; Power (physics)","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000374903,0.0002573848,0.0001801309,0.0002079803,0.0001225626,0.0003054374,0.0006919572,0.0003590778,0.003073233],"category_scores_gemma":[0.0006075277,0.0001678125,0.0001455654,0.0002171043,0.0001750513,0.0004234268,0.0002229733,0.0005072201,0.0006308501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002833353,"about_ca_system_score_gemma":0.0002257964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009231984,"about_ca_topic_score_gemma":0.0002301077,"domain_scores_codex":[0.9997879,0.00004797134,0.000007459464,0.00003593628,0.00009740808,0.00002331604],"domain_scores_gemma":[0.9994977,0.0002632988,0.00007820718,0.00007173725,0.00006372452,0.00002536987],"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":[0.0001462678,0.0000456439,0.0004436725,0.0001640989,0.00001117114,0.00008256023,0.00004417504,0.0004938518,0.976374,0.0009584766,0.0003016563,0.02093443],"study_design_scores_gemma":[0.00001310539,0.0004975296,0.001388788,0.0000110454,0.00001668362,0.0005177248,0.00001838386,0.004563667,0.9881838,0.0001733898,0.004604046,0.0000118672],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5869309,0.003171676,0.3989074,0.000395361,0.0001967916,0.0003855461,0.0004369889,0.002311198,0.007264007],"genre_scores_gemma":[0.8810726,0.0007912912,0.1137757,0.0001099073,0.00005257618,0.00009436082,0.0001773627,0.000124966,0.003801238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003073233,"threshold_uncertainty_score":0.01028103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00882164224518418,"score_gpt":0.1902521006922743,"score_spread":0.1814304584470901,"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."}}