{"id":"W4402557607","doi":"10.1109/newcas58973.2024.10666363","title":"A Flexible Thermal/Solar Energy Harvesting System with Hysteretic Control and Maximum Power Point Tracking Regulation for IoT Devices","year":2024,"lang":"en","type":"article","venue":"","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Mitacs","keywords":"Energy harvesting; Maximum power point tracking; Tracking (education); Thermal; Computer science; Maximum power principle; Power (physics); Energy (signal processing); Photovoltaic system; Electrical engineering; Control theory (sociology); Control (management); Engineering; Voltage; 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":[0.00006011543,0.0001466905,0.0001760262,0.00009306052,0.0001925957,0.0002590547,0.0004638357,0.0001686775,0.001233823],"category_scores_gemma":[0.00006587381,0.0001089202,0.0001541754,0.0001558749,0.0001212584,0.0003141305,0.0001815313,0.0001962994,0.0002765218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001762031,"about_ca_system_score_gemma":0.0001239283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002446547,"about_ca_topic_score_gemma":0.0005762703,"domain_scores_codex":[0.9999549,0.000003125894,0.000002501844,0.00001320204,0.0000209175,0.000005361662],"domain_scores_gemma":[0.9999803,0.000003668192,0.000004271086,0.00000459494,0.000004902207,0.000002280016],"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":[0.0001025572,0.00006642525,0.0007868869,0.0001817019,0.00002846623,0.0002335543,0.000137777,0.01657999,0.8799414,0.005363608,0.001677677,0.09489998],"study_design_scores_gemma":[0.00008058603,0.0005632202,0.005365455,0.0000454724,0.00007829467,0.0007528352,0.00008460024,0.4115091,0.5385792,0.003158647,0.03971806,0.00006465508],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.34564,0.00121135,0.6303899,0.0003886926,0.0001534057,0.000163034,0.0002424812,0.002354099,0.01945701],"genre_scores_gemma":[0.9393777,0.0002428964,0.05544307,0.00008219912,0.0000204515,0.00006037641,0.00008957637,0.00004885236,0.004634795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001233823,"threshold_uncertainty_score":0.004127502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010383877099432,"score_gpt":0.2038758551849933,"score_spread":0.1934919780855613,"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."}}