{"id":"W2802452167","doi":"10.1007/s10470-018-1188-3","title":"A reconfigurable and instantaneous triple RF bands energy harvester using internal control loop","year":2018,"lang":"en","type":"article","venue":"Analog Integrated Circuits and Signal Processing","topic":"Energy Harvesting in Wireless Networks","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Loop (graph theory); Energy (signal processing); Control (management); Control theory (sociology); Physics; Electrical engineering; Electronic engineering; Computer science; Engineering; Mathematics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002257482,0.0003572683,0.0004173845,0.0001969302,0.0003024668,0.0006008063,0.0001571828,0.0002263266,0.00007512604],"category_scores_gemma":[0.00002570326,0.0003183304,0.00004325046,0.0003182114,0.0002745235,0.0006365357,0.00001645871,0.000371874,0.000001929242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007606589,"about_ca_system_score_gemma":0.00007538973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003160863,"about_ca_topic_score_gemma":0.0002788487,"domain_scores_codex":[0.9984081,0.00005411406,0.0004513901,0.0004089562,0.0001650371,0.0005123732],"domain_scores_gemma":[0.9992797,0.00008646082,0.0001089267,0.000129769,0.0001948873,0.0002002163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001115775,0.00006091249,0.003644109,0.0003113418,0.0003839226,0.0002913946,0.0009484539,0.01652807,0.1473653,0.001076039,0.0004969683,0.8287818],"study_design_scores_gemma":[0.001116525,0.0002201915,0.0001941602,0.001016921,0.0001012835,0.0007142495,0.0002213711,0.9836081,0.009310151,0.0004851479,0.002400116,0.0006117747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6459035,0.005119175,0.3354453,0.00002017886,0.0003250217,0.0001069553,0.00001980464,0.0003959716,0.01266417],"genre_scores_gemma":[0.9984794,0.0001417826,0.0001726147,0.0002873642,0.0003300325,0.000008204551,0.0000129985,0.00007228011,0.0004953199],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9670801,"threshold_uncertainty_score":0.9999269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217132106291335,"score_gpt":0.2077893101164393,"score_spread":0.195617989053526,"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."}}