{"id":"W2333597491","doi":"10.7763/jocet.2015.v3.230","title":"A Low Cost Method of Snow Detection on Solar Panels and Sending Alerts","year":2014,"lang":"en","type":"article","venue":"Journal of Clean Energy Technologies","topic":"Icing and De-icing Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland","keywords":"Snow; Snow removal; Photovoltaic system; Microcontroller; Clearance; Solar irradiance; Arduino; Environmental science; Solar energy; Irradiance; Automotive engineering; Computer science; Electrical engineering; Real-time computing; Meteorology; Simulation; Engineering; Embedded system; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002108891,0.0006278872,0.0004808962,0.000880626,0.000368732,0.0004981542,0.001164058,0.0005599491,0.003685954],"category_scores_gemma":[0.000943675,0.0002546971,0.000241082,0.0004094064,0.0001574983,0.0006137619,0.0003366906,0.0003933755,0.001402202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002737384,"about_ca_system_score_gemma":0.0002883463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000501838,"about_ca_topic_score_gemma":0.000665156,"domain_scores_codex":[0.9993587,0.00006884223,0.00003914985,0.000120735,0.0003746599,0.00003780209],"domain_scores_gemma":[0.9993362,0.0001412586,0.0001061305,0.00009830183,0.0002859049,0.00003220232],"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":[0.0006758326,0.000313968,0.006097423,0.0008194661,0.00006038115,0.0005794002,0.0002879473,0.003157308,0.4418804,0.001331078,0.01048209,0.5343148],"study_design_scores_gemma":[0.0001958187,0.001979362,0.02469876,0.00009364486,0.0001637472,0.003806664,0.0001552474,0.09557111,0.8243815,0.0008583785,0.04795325,0.0001425157],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1573156,0.0008376116,0.8127429,0.0004120373,0.0005683301,0.001081431,0.0005581112,0.01475597,0.011728],"genre_scores_gemma":[0.8047736,0.0003159207,0.1783104,0.0002743576,0.0001297891,0.0004258075,0.000423387,0.0001661654,0.01518053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003685954,"threshold_uncertainty_score":0.01233071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015004168497403,"score_gpt":0.2271889103400492,"score_spread":0.2170388686550752,"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."}}