{"id":"W4386502454","doi":"10.54097/hset.v64i.11247","title":"A Study on the Severity of Global Light Pollution Based on Comprehensive Evaluation","year":2023,"lang":"en","type":"article","venue":"Highlights in Science Engineering and Technology","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Light pollution; Beijing; Pollution; Generality; Environmental science; Geography; Index (typography); Scale (ratio); Rural area; Environmental protection; Environmental resource management; Ecology; China; Computer science; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009262135,0.000104625,0.0001177464,0.0002203575,0.0001492829,0.00001038891,0.0002530585,0.00005991524,0.0000176426],"category_scores_gemma":[0.0001073476,0.00007047657,0.00001188112,0.002089658,0.0003078053,0.00007414187,0.0001004713,0.0001138696,0.0001231484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003249381,"about_ca_system_score_gemma":0.00002497758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003470165,"about_ca_topic_score_gemma":0.00001283614,"domain_scores_codex":[0.9986694,0.00003193457,0.0001499271,0.0002841864,0.0005555637,0.0003090211],"domain_scores_gemma":[0.9995679,0.00004981475,0.00004703019,0.0002817542,0.000008272519,0.00004521696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001150231,0.001888896,0.6522396,0.00003100729,0.00001986581,0.0000558372,0.002325815,0.1890169,0.05960269,0.08388595,0.0008493722,0.009969041],"study_design_scores_gemma":[0.0004112036,0.0004210367,0.9524352,0.00002221724,0.000004438336,0.000001887664,0.0002802742,0.04081373,0.004495299,0.0003991214,0.0006179576,0.00009762611],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909402,0.000005790268,0.00002188415,0.007839389,0.0001190039,0.0003726441,0.000002425015,0.00008073833,0.0006179453],"genre_scores_gemma":[0.9998279,0.00000632977,0.00006549314,0.00005471524,0.000007317727,0.00002821152,4.055994e-7,0.000003637,0.000005989458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3001956,"threshold_uncertainty_score":0.2873951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02208392398698768,"score_gpt":0.2785270695025255,"score_spread":0.2564431455155378,"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."}}