{"id":"W3118243995","doi":"10.1109/access.2021.3049517","title":"An Enhanced EPP-MPPT Algorithm With Modified Control Technique in Solar-Based Inverter Applications: Analysis and Experimentation","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photovoltaic system; Maximum power point tracking; Computer science; Inverter; Algorithm; Control theory (sociology); Power (physics); Control (management); Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001909573,0.000184169,0.0003456717,0.0004168123,0.00007034154,0.0001802684,0.000244098,0.0001343898,0.00006107136],"category_scores_gemma":[0.00000989893,0.0001782532,0.00004536931,0.001377802,0.00004975505,0.0005764874,0.00001670772,0.00009522889,0.000001993006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000104262,"about_ca_system_score_gemma":0.0000858487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001531825,"about_ca_topic_score_gemma":0.001272179,"domain_scores_codex":[0.9985386,0.0002036899,0.0003678637,0.0004852724,0.0002181536,0.0001864589],"domain_scores_gemma":[0.998922,0.00006581341,0.0001687374,0.0005241003,0.0002393087,0.00007996738],"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":[0.0001432422,0.0005357534,0.00760459,0.00006477527,0.0003945276,0.00002869857,0.0004739665,0.07023908,0.8877786,0.0002808183,0.00004811807,0.03240782],"study_design_scores_gemma":[0.0008939111,0.00003338551,0.00078981,0.00002242953,0.00008451013,0.000002398092,0.00006378841,0.1715406,0.8260564,0.0002747833,0.0000389542,0.0001991285],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02040529,0.0000503846,0.9778752,0.00002990285,0.00001690425,0.0008468647,0.00001641686,0.0002413956,0.000517693],"genre_scores_gemma":[0.9553961,0.00001725709,0.03914815,0.0004847848,0.00002720572,0.004727203,0.0001404887,0.00003014493,0.00002862231],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.938727,"threshold_uncertainty_score":0.7268955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304467689608747,"score_gpt":0.302339211973562,"score_spread":0.2892945350774745,"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."}}