{"id":"W2539019607","doi":"","title":"The bright lights of St. John's","year":2016,"lang":"en","type":"article","venue":"Airports international","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aeronautics; Engineering; Transport engineering; Meteorology; Telecommunications; Environmental science; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004808407,0.000608091,0.0001873255,0.0006323815,0.00856409,0.004451673,0.0004280631,0.0018228,0.08897745],"category_scores_gemma":[0.001240902,0.0003659368,0.000363087,0.0004522119,0.001344914,0.0009723869,0.001605479,0.003992453,0.01051703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006875792,"about_ca_system_score_gemma":0.01418535,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5304205,"about_ca_topic_score_gemma":0.8719071,"domain_scores_codex":[0.9990997,0.00004462339,0.000008724424,0.00007292022,0.0005015949,0.0002725585],"domain_scores_gemma":[0.9990317,0.00003619663,0.00002505764,0.00002136563,0.0004370574,0.0004486568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003819261,0.00002002466,0.001044072,0.00003827389,0.000004232925,0.0002622207,0.0004316025,0.00003983189,0.0007701756,0.004446769,0.9740466,0.01885804],"study_design_scores_gemma":[0.000004000852,0.0000160688,0.002588774,0.00008214779,0.000003026936,0.00007956875,0.00100293,0.00002394938,0.0002461793,0.0002952284,0.9956431,0.00001507657],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01167946,0.009451678,0.000798654,0.1253318,0.0205804,0.0001356134,0.0009181009,0.0005082299,0.830596],"genre_scores_gemma":[0.03609255,0.003365017,0.0009340885,0.01427749,0.001023737,0.0000200726,0.0001833494,0.000146077,0.9439576],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5304205,"threshold_uncertainty_score":0.9446899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006734524407055079,"score_gpt":0.2310850994365007,"score_spread":0.2243505750294456,"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."}}