{"id":"W4285312180","doi":"10.18280/psees.050101","title":"Matlab/Stateflow P&O and ICMPPT Implementation for PEM Fuel Cell Power System","year":2021,"lang":"en","type":"article","venue":"Progress in Solar Energy and Engineering Systems","topic":"Fuel Cells and Related Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stateflow; Maximum power principle; MATLAB; Proton exchange membrane fuel cell; Maximum power point tracking; Control theory (sociology); Power (physics); Computer science; Voltage; Fuel cells; Engineering; Electrical engineering; Physics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004643978,0.001060066,0.0003591229,0.0005377749,0.0002964686,0.0008563134,0.001459805,0.0005545053,0.0404689],"category_scores_gemma":[0.00174267,0.00036006,0.0003772595,0.0003654188,0.000260575,0.0007453546,0.0004950053,0.001191238,0.00705278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003775746,"about_ca_system_score_gemma":0.0007476945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001868505,"about_ca_topic_score_gemma":0.001640552,"domain_scores_codex":[0.9997229,0.00006595072,0.0000261058,0.00004849924,0.0001016977,0.00003486243],"domain_scores_gemma":[0.9994255,0.000222056,0.00004786249,0.0001052847,0.0001799642,0.0000192335],"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":[0.0009517109,0.0004713722,0.003604048,0.002457424,0.0001575386,0.001053024,0.0009491114,0.3537582,0.04250522,0.04584301,0.08061258,0.4676367],"study_design_scores_gemma":[0.0001579816,0.0002386539,0.0009529745,0.0001446169,0.00003939785,0.0004050493,0.00006694193,0.8126011,0.0961644,0.009316107,0.0798547,0.0000580133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01106456,0.000155333,0.8994297,0.0002078218,0.0001421542,0.0001878409,0.001662253,0.06332981,0.02382044],"genre_scores_gemma":[0.5047749,0.0006573646,0.444302,0.0004051872,0.00006035398,0.00172519,0.004187947,0.007974304,0.03591265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0404689,"threshold_uncertainty_score":0.1353819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005294450905463711,"score_gpt":0.2049794590156137,"score_spread":0.1996850081101499,"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."}}