{"id":"W4388333761","doi":"10.24018/ejece.2023.7.5.552","title":"Remote Monitoring, Control and Data Visualization for a Solar Water Pumping System","year":2023,"lang":"en","type":"article","venue":"European Journal of Electrical Engineering and Computer Science","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Arduino; Visualization; Computer science; GSM; Embedded system; Remote control; Data visualization; Cloud computing; Operating system; Remote monitoring and control; Database; Real-time computing; Control (management)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002327201,0.0003982596,0.0003143516,0.0003653493,0.0005169589,0.000530644,0.0004181683,0.0003153251,0.004746263],"category_scores_gemma":[0.0003071952,0.000134475,0.0001642775,0.000231735,0.0001672153,0.0003549764,0.0003196741,0.0002552825,0.0005096156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002797921,"about_ca_system_score_gemma":0.0003426342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002953604,"about_ca_topic_score_gemma":0.002904481,"domain_scores_codex":[0.9998057,0.00004171173,0.00001057585,0.00004727957,0.00007329957,0.00002134006],"domain_scores_gemma":[0.9998307,0.00005267962,0.00001722315,0.00002280142,0.00005561277,0.0000208427],"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":[0.001595978,0.0004669709,0.02350165,0.0005234978,0.00007507474,0.002167878,0.001419882,0.04465297,0.517319,0.002180947,0.01682604,0.3892701],"study_design_scores_gemma":[0.0002424799,0.00118665,0.05099461,0.00008785372,0.0001222968,0.001103896,0.0005288249,0.6467804,0.2646627,0.001322372,0.03283193,0.0001359736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6352469,0.0004335168,0.3130756,0.0008297935,0.0002114045,0.0004953407,0.001282455,0.02814857,0.02027641],"genre_scores_gemma":[0.9739353,0.000104542,0.02211073,0.00006133389,0.00002003414,0.00007656572,0.0002108076,0.00007959411,0.003401018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004746263,"threshold_uncertainty_score":0.01587784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02589124570860294,"score_gpt":0.251262331285914,"score_spread":0.2253710855773111,"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."}}