{"id":"W4285567757","doi":"10.18280/psees.040105","title":"Dual Axis Solar Tracking System Using Arduino","year":2020,"lang":"en","type":"article","venue":"Progress in Solar Energy and Engineering Systems","topic":"Photovoltaic System Optimization Techniques","field":"Energy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arduino; Solar tracker; Tracing; Solar micro-inverter; Solar energy; Servomotor; Solar cell; Software; Computer science; Solar power; Electrical engineering; Engineering; Power (physics); Embedded system; Maximum power point tracking; Physics; Artificial intelligence; Operating system; Voltage","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003873089,0.0003481054,0.0005636863,0.0002064604,0.00009951161,0.0001960319,0.0001988419,0.0002759062,0.000003587388],"category_scores_gemma":[0.00005297878,0.0003644165,0.00007339293,0.0004615654,0.00003887134,0.0003185217,0.00009388544,0.0001912834,0.000002684158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001678381,"about_ca_system_score_gemma":0.00002879763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005716269,"about_ca_topic_score_gemma":0.00001281938,"domain_scores_codex":[0.9979284,0.0001289606,0.0006715887,0.0004839673,0.0003140497,0.0004730368],"domain_scores_gemma":[0.9992306,0.00005539573,0.0001620735,0.000266798,0.00008195678,0.0002032227],"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":[0.00007382111,0.00007058289,0.01203724,0.003831615,0.0002910186,0.0004628082,0.002584267,0.9148574,0.01314165,0.04590557,0.00008612926,0.006657904],"study_design_scores_gemma":[0.0004257312,0.00005299509,0.0001154298,0.0008931396,0.00002506852,0.00017784,0.0004123458,0.9784274,0.01069979,0.000004282467,0.008287279,0.0004787772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.364338,0.04185866,0.5803435,0.0001173667,0.003300808,0.001295066,0.00004179151,0.006549541,0.002155222],"genre_scores_gemma":[0.9960212,0.00006368304,0.003201209,0.00002074422,0.0004091937,0.0001534852,0.00001318984,0.0001021101,0.00001515604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6316832,"threshold_uncertainty_score":0.9998808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01926691046331085,"score_gpt":0.2243197372537047,"score_spread":0.2050528267903938,"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."}}