{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"12e3a6ad4503","filters":{"venue":"The 7th International Conference on Advanced Communication Technology, 2005, ICACT 2005."}},"results":[{"id":"W2024400826","doi":"10.1109/icact.2005.245945","title":"Minimum noise figure of a low noise amplifier based on noise optimization technique","year":2005,"lang":"en","type":"article","venue":"The 7th International Conference on Advanced Communication Technology, 2005, ICACT 2005.","topic":"Radio Frequency Integrated Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Low-noise amplifier; Noise figure; Noise (video); Effective input noise temperature; Noise-figure meter; Noise temperature; Noise measurement; CMOS; Y-factor; Amplifier; Computer science; Electrical engineering; Electronic engineering; Physics; Acoustics; Engineering; Noise reduction; Phase noise; Artificial intelligence","authors":[{"name":"Roghoyeh Salmeh","is_ca":true},{"name":"Brent Maundy","is_ca":true},{"name":"R.H. Johnston","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01860936145721358,"gpt":0.2673685578456716,"spread":0.248759196388458,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003347844,0.0005379964,0.000421173,0.000354895,0.0002701526,0.0005955047,0.0005282346,0.0005020055,0.001242169],"category_scores_gemma":[0.0009767035,0.000223551,0.0003272709,0.0002194873,0.0004000556,0.0004355222,0.0001720401,0.0003238697,0.000470758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006012437,"about_ca_system_score_gemma":0.0002618938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004811908,"about_ca_topic_score_gemma":0.0006798598,"domain_scores_codex":[0.9994755,0.00009352329,0.00002738915,0.0001321365,0.0002262611,0.00004512646],"domain_scores_gemma":[0.9995378,0.0001907146,0.00009587072,0.00004124048,0.0001206424,0.00001370237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002627616,0.0000369865,0.0007830534,0.0001217229,0.00004893125,0.0001230838,0.0001017219,0.02002159,0.944433,0.004094001,0.0002681908,0.02970482],"study_design_scores_gemma":[0.00005636679,0.0009817476,0.002425894,0.00003293224,0.0001934622,0.0007697483,0.00003042257,0.1592018,0.8285359,0.001356417,0.006367285,0.00004798903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3093073,0.0006944722,0.6749914,0.0003342183,0.00007024811,0.000076066,0.00006779886,0.001881786,0.01257669],"genre_scores_gemma":[0.8660378,0.0002062122,0.1292793,0.00009875625,0.00002927789,0.00006218786,0.00004470514,0.0001850811,0.004056612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001242169,"threshold_uncertainty_score":0.004362345,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}