{"id":"W4389228627","doi":"10.37256/jeee.2220233795","title":"Power Consumption Minimization of a Low-Cost IoT Data Logger for Photovoltaic System","year":2023,"lang":"en","type":"article","venue":"Journal of Electronics and Electrical Engineering","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Data logger; Microcontroller; Computer science; Embedded system; Battery (electricity); Power management; Real-time computing; Power (physics); Photovoltaic system; Sleep mode; Computer hardware; Electrical engineering; Automotive engineering; Engineering; Power consumption; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.0003753231,0.0001337167,0.0002734155,0.0003541821,0.00002459665,0.00002340467,0.0001902191,0.00007376914,0.000003055418],"category_scores_gemma":[0.00009479767,0.0001305487,0.0000579068,0.0004297479,0.000007042509,0.0001053673,0.00003613425,0.0001853907,0.000001403552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001576802,"about_ca_system_score_gemma":0.00003123204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.963274e-7,"about_ca_topic_score_gemma":6.621787e-7,"domain_scores_codex":[0.9989173,0.000007968528,0.0004331327,0.0001202866,0.0001809336,0.0003404211],"domain_scores_gemma":[0.9994448,0.0001301549,0.00009581825,0.0001775051,0.00007690641,0.0000748092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004073348,0.00001878065,0.0001244152,0.0004792516,0.0002073765,0.000007658513,0.00002478331,0.9617998,0.03076279,0.001526812,0.003203484,0.001804121],"study_design_scores_gemma":[0.0005286093,0.0001095177,0.0007358411,0.00009062353,0.00005002338,0.00003147296,0.000006391619,0.9844097,0.005462111,0.00001433851,0.008433609,0.0001277492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6081725,0.00476697,0.3854532,0.00004352795,0.0008282577,0.000409169,0.00002167564,0.000247229,0.00005744578],"genre_scores_gemma":[0.9972801,0.001140791,0.00136161,0.000006509375,0.0001217427,0.00001049146,0.00002120851,0.00004358115,0.0000139615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3891076,"threshold_uncertainty_score":0.532362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413974432056537,"score_gpt":0.2229312874086251,"score_spread":0.2087915430880597,"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."}}