{"id":"W2617319989","doi":"10.5539/eer.v7n1p31","title":"Argentinean Experience in Highways Led Lighting","year":2017,"lang":"en","type":"article","venue":"Energy and Environment Research","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Restructuring; Architectural engineering; Power consumption; LED lamp; Process (computing); Work (physics); Frame (networking); Transport engineering; Electricity; Computer science; Consumption (sociology); Power (physics); Telecommunications; Business; Engineering; Electrical engineering; Finance; Mechanical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00107746,0.0002644054,0.0001950609,0.0002837115,0.001478248,0.001528254,0.0003396981,0.0004132609,0.009220838],"category_scores_gemma":[0.00139431,0.0001476511,0.0001132733,0.0007117616,0.0006787071,0.0005833535,0.0008823852,0.0007176002,0.0008983818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002934081,"about_ca_system_score_gemma":0.0004831439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03974244,"about_ca_topic_score_gemma":0.07431858,"domain_scores_codex":[0.9991981,0.0003261135,0.00001629025,0.000107468,0.0002075305,0.0001445227],"domain_scores_gemma":[0.999551,0.0001097252,0.00006008442,0.00002605274,0.0001798879,0.00007324232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001139925,0.0009111714,0.1094841,0.001880668,0.00006013078,0.004890482,0.2275192,0.003086748,0.02182012,0.04105742,0.07650899,0.5116411],"study_design_scores_gemma":[0.00001609476,0.0003982943,0.122174,0.0002968182,0.00002285752,0.001094169,0.03660195,0.0006973836,0.002106847,0.0003946114,0.8361508,0.00004614132],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8223976,0.004272022,0.001251024,0.002807469,0.0001518674,0.00003500496,0.0003879956,0.00008689016,0.1686102],"genre_scores_gemma":[0.9495968,0.003495282,0.0009598241,0.0004185903,0.00007607742,0.00002160975,0.0002081038,0.00007596953,0.04514778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03974244,"threshold_uncertainty_score":0.07902223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09058759559127072,"score_gpt":0.3570417465099375,"score_spread":0.2664541509186668,"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."}}