{"id":"W4226035515","doi":"10.5281/zenodo.6420290","title":"Developing a System for Climate, Light Frequency Control in Economical Off-grid Vertical Farm using MPPT Solar Charge Controller","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Controller (irrigation); Grid; Photovoltaic system; Charge (physics); Charge controller; Maximum power point tracking; Control theory (sociology); Control (management); Environmental science; Computer science; Electrical engineering; Engineering; Voltage; Physics; Geography; Power (physics); Biology; Geodesy","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":[0.0001894257,0.0003635544,0.0003071492,0.0003094436,0.000353305,0.0007197445,0.0009913009,0.0006079815,0.009198091],"category_scores_gemma":[0.0002036954,0.0001730379,0.0002138541,0.0002419877,0.0001291319,0.0005100352,0.0003774011,0.0003142926,0.002947197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003072215,"about_ca_system_score_gemma":0.0004722335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001417544,"about_ca_topic_score_gemma":0.001668763,"domain_scores_codex":[0.9997866,0.00001848114,0.00001356869,0.00005331355,0.0001051441,0.00002296784],"domain_scores_gemma":[0.9998707,0.00001502094,0.00001227297,0.00002142906,0.00006483876,0.0000157095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004759238,0.0003518462,0.003702197,0.0005442268,0.00007573921,0.0009143663,0.00035877,0.02408996,0.4672515,0.005682227,0.02719891,0.4693544],"study_design_scores_gemma":[0.0003080363,0.001233487,0.01059163,0.00009769997,0.0001227697,0.001447497,0.0002105446,0.4658115,0.3354042,0.002766606,0.1819108,0.00009514213],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05969157,0.0002653617,0.8885385,0.0003694512,0.0003006417,0.0007754298,0.0005151396,0.02150899,0.02803503],"genre_scores_gemma":[0.5679166,0.0002186295,0.3919341,0.0004238997,0.00009206203,0.0006210434,0.0008486115,0.000433125,0.03751183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009198091,"threshold_uncertainty_score":0.03077072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02776108544877619,"score_gpt":0.2292263304315256,"score_spread":0.2014652449827494,"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."}}