{"id":"W2785436566","doi":"10.1109/pesgm.2017.8274690","title":"Harmonic impact of the large-scale conversion of public lighting","year":2017,"lang":"en","type":"article","venue":"","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; ATCO (Canada)","funders":"","keywords":"Popularity; Software deployment; Harmonic; Scale (ratio); Total harmonic distortion; Computer science; Distortion (music); Voltage; Telecommunications; Wireless; Electrical engineering; Engineering; Geography; Bandwidth (computing); Physics; Political science; Operating system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005288713,0.00008069004,0.0001326495,0.00001394924,0.0003440091,0.00001798701,0.0005238766,0.00004658195,0.006643077],"category_scores_gemma":[0.0000428004,0.00004518157,0.0001396718,0.00003991918,0.0002497047,0.0003123174,0.0004009334,0.00007838913,0.0001140048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000134803,"about_ca_system_score_gemma":0.00002198936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008203913,"about_ca_topic_score_gemma":0.00007541999,"domain_scores_codex":[0.9990712,0.00003675358,0.0001800738,0.0001208641,0.0002811099,0.0003099735],"domain_scores_gemma":[0.9989802,0.00001932395,0.0003167999,0.0005767561,0.000003375437,0.0001035146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004551219,0.00007322585,0.9828756,0.000006632476,0.000005880483,1.213355e-7,0.000210303,0.000003373941,0.01566415,0.00003106952,0.0007504779,0.0003745624],"study_design_scores_gemma":[0.0003019595,0.00007327762,0.967226,0.000007726313,0.000005846388,7.243275e-7,0.0000667599,0.0002406781,0.03070853,0.00004412011,0.001270313,0.00005404804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9593243,0.00001185741,0.00005953976,0.0009763861,0.00006465294,0.000111448,0.000005139715,0.000006216002,0.03944048],"genre_scores_gemma":[0.9980949,0.00002638786,0.000168124,0.00005566362,0.00001344219,7.600453e-7,7.066067e-7,0.000006079154,0.001633924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03877063,"threshold_uncertainty_score":0.994265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02770480127752742,"score_gpt":0.284033376088494,"score_spread":0.2563285748109667,"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."}}