{"id":"W2100799225","doi":"10.1109/ccece.2005.1557204","title":"A 0.65V CMOS power amplifier for biotelemetry applications","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Power Amplifier Design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"King Abdulaziz City for Science and Technology; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Electrical engineering; CMOS; Amplifier; Biotelemetry; Low-power electronics; Voltage; Electronic engineering; Power (physics); Low voltage; Engineering; Power consumption; Telecommunications; Physics","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":[0.00008845833,0.0002634322,0.0001151595,0.0001395196,0.0002184165,0.0003846583,0.0004451586,0.000392518,0.003766394],"category_scores_gemma":[0.0003621961,0.0001537316,0.0001316681,0.0001957294,0.0001599981,0.0005767635,0.0001742221,0.000320905,0.001660979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002032629,"about_ca_system_score_gemma":0.0002367519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003784492,"about_ca_topic_score_gemma":0.0008208143,"domain_scores_codex":[0.9998832,0.000008814394,0.000006307683,0.00003921854,0.00004784127,0.00001470883],"domain_scores_gemma":[0.9999104,0.00002175273,0.00001469996,0.000009431647,0.00003369553,0.00001006544],"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":[0.00006750482,0.00002261188,0.0005086848,0.00008392046,0.00001290983,0.0001244812,0.00007216714,0.0001973159,0.9254082,0.002078487,0.00159202,0.06983168],"study_design_scores_gemma":[0.00004849281,0.001006247,0.005833234,0.00005111118,0.0000769539,0.003844811,0.0001037642,0.01116805,0.8715458,0.002535558,0.1037467,0.00003929668],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2602709,0.003861534,0.6834645,0.001491188,0.0005175907,0.000270544,0.0006989571,0.005001181,0.04442357],"genre_scores_gemma":[0.7992095,0.001576044,0.1697998,0.0008488507,0.000136354,0.000103695,0.0002776943,0.000116724,0.02793132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003766394,"threshold_uncertainty_score":0.01259983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005455749302665495,"score_gpt":0.2115959912101204,"score_spread":0.2061402419074549,"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."}}