{"id":"W4405865000","doi":"10.1038/s41598-024-83125-9","title":"Understanding the association between urban noise and nighttime light in China","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"China; Noise (video); Association (psychology); Computer science; Geography; Psychology; Artificial intelligence; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007128331,0.0002314696,0.0002425243,0.0009266457,0.0003377367,0.0008228954,0.0003372726,0.0002579122,0.000670927],"category_scores_gemma":[0.0009685239,0.0001832891,0.0003994314,0.0013562,0.0004000303,0.0005529156,0.0006012354,0.0002492639,0.00009797955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044218,"about_ca_system_score_gemma":0.001440077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07982955,"about_ca_topic_score_gemma":0.1187934,"domain_scores_codex":[0.9994487,0.00006883576,0.00006065368,0.0001679948,0.0001299624,0.0001238578],"domain_scores_gemma":[0.9990963,0.0001509733,0.0003525695,0.00005975549,0.0002350193,0.0001055112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001765588,0.00001734389,0.9925538,0.00002685857,0.00004446579,0.00007720099,0.0002769722,0.0004629738,0.0005868399,0.0001691162,0.0001318764,0.005634829],"study_design_scores_gemma":[7.213596e-7,0.000008025517,0.9985182,0.000005216768,0.00001444783,0.00001772841,0.0002272492,0.0008340333,0.00006542461,0.00006457894,0.0002403473,0.000004062366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980183,0.0003375262,0.0004214454,0.0001593928,0.000008341468,0.000006005923,0.0002068468,0.000005903828,0.0008362859],"genre_scores_gemma":[0.9990432,0.0002138067,0.0001619477,0.00003636539,0.00001124385,0.000005369432,0.000230805,0.000002527339,0.0002948099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07982955,"threshold_uncertainty_score":0.1587298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0246543461303205,"score_gpt":0.2451908926909519,"score_spread":0.2205365465606314,"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."}}