{"id":"W2758271598","doi":"10.1109/mwscas.2017.8053054","title":"A 0.13 μm CMOS power conditioning circuit for piezoelectric vibration energy harvesters","year":2017,"lang":"en","type":"article","venue":"","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rectifier (neural networks); Electrical engineering; CMOS; Energy harvesting; Capacitor; Voltage; Switched capacitor; Power (physics); Engineering; Electronic engineering; Electronic circuit; Computer science; 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":[0.0001345986,0.00025147,0.0002221769,0.0001307016,0.0001995068,0.0004411116,0.0008965069,0.0002940059,0.003180081],"category_scores_gemma":[0.0002937442,0.0001775871,0.0002004197,0.0001719618,0.0001388705,0.0004492962,0.0001529829,0.0003497127,0.0007028249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004986899,"about_ca_system_score_gemma":0.0007331878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007194398,"about_ca_topic_score_gemma":0.001196416,"domain_scores_codex":[0.9998754,0.000009068192,0.000007312951,0.00003287856,0.00005911541,0.00001618626],"domain_scores_gemma":[0.9999095,0.00002903291,0.00001830426,0.000006297463,0.00003113395,0.000005665353],"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":[0.0001067086,0.00005963739,0.000413051,0.0003257619,0.00003320049,0.0002053515,0.000109386,0.004179094,0.9333944,0.006944078,0.001850598,0.05237877],"study_design_scores_gemma":[0.00008791435,0.001024463,0.001975366,0.0000829623,0.0001190294,0.001192288,0.000053529,0.05085546,0.9073552,0.001446988,0.03576372,0.00004312611],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2278187,0.002718149,0.7354024,0.0009274293,0.0005230714,0.0004368837,0.0006600284,0.003836942,0.02767633],"genre_scores_gemma":[0.8273017,0.0008596809,0.1589857,0.000418347,0.00007779653,0.0001390901,0.0001654929,0.00009384286,0.01195846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003180081,"threshold_uncertainty_score":0.01063848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02069844500194421,"score_gpt":0.2304220344026979,"score_spread":0.2097235894007537,"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."}}