{"id":"W4390077873","doi":"10.11591/ijape.v13.i1.pp201-212","title":"Real-time monitoring and data acquisition using LoRa for a remote solar powered oil well","year":2023,"lang":"en","type":"article","venue":"International Journal of Applied Power Engineering (IJAPE)","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Photovoltaic system; Alternating current; Data acquisition; Battery (electricity); Node (physics); Microcontroller; Electrical engineering; Wireless; Embedded system; Flash (photography); Computer science; Real-time computing; Voltage; Computer hardware; Engineering; Telecommunications; Power (physics)","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":[0.000696129,0.0002012503,0.0002873967,0.0005200025,0.00004937531,0.0001367615,0.0006711963,0.0001197127,0.00004646081],"category_scores_gemma":[0.00009206101,0.0002121036,0.0000753591,0.0002197507,0.00001723587,0.0003802808,0.0002205055,0.0001537704,0.00001806116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002008004,"about_ca_system_score_gemma":0.00005226307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005257769,"about_ca_topic_score_gemma":5.020807e-7,"domain_scores_codex":[0.9983641,0.00001347594,0.0006192675,0.0002572433,0.0005093043,0.0002366262],"domain_scores_gemma":[0.9987125,0.0001716026,0.0003536973,0.0003105578,0.0003467958,0.0001048836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002625237,0.00003012971,0.00002954297,0.00005317107,0.0004092811,0.00005928923,0.0004287401,0.1248284,0.8690439,0.0006981114,0.001048384,0.003108417],"study_design_scores_gemma":[0.002722122,0.0001288567,0.000482213,0.001011088,0.0001328684,0.000400144,0.0002524955,0.7624689,0.1958482,0.001126924,0.03465697,0.0007691842],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7222229,0.0002866976,0.2613135,0.0004440969,0.006363565,0.000564737,0.0002460589,0.001373661,0.00718482],"genre_scores_gemma":[0.8820192,0.0004402735,0.1160912,0.00002871325,0.0009713047,0.000007356896,0.0001243806,0.0001188619,0.0001987171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6731958,"threshold_uncertainty_score":0.8649333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881906159537711,"score_gpt":0.2830888673774218,"score_spread":0.2642698057820447,"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."}}