{"id":"W4389001636","doi":"10.1007/978-3-031-47237-4_6","title":"Comparative Assessment of Winter Night Sky Brightness in Southwestern Ontario","year":2023,"lang":"en","type":"book-chapter","venue":"Springer proceedings in energy","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Sky; Brightness; Light pollution; Environmental science; Sky brightness; Overcast; Cloud cover; Night sky; Remote sensing; Geography; Meteorology; Astronomy; Cloud computing; Physics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004469411,0.0004948498,0.0008585102,0.0003445348,0.00004904021,0.00003154206,0.0004715166,0.0003658677,0.00332814],"category_scores_gemma":[0.000003402691,0.0004724512,0.0001316846,0.0001111854,0.0002717535,0.0002652821,0.0004736528,0.0006535446,0.000172319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002050046,"about_ca_system_score_gemma":0.00008701745,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01275971,"about_ca_topic_score_gemma":0.1182978,"domain_scores_codex":[0.9971183,0.000008942832,0.0008080054,0.000715843,0.0007154811,0.000633423],"domain_scores_gemma":[0.9991171,0.00003602473,0.000463394,0.0002123496,0.00001184714,0.0001592752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007750105,0.0002399681,0.9439013,0.000125599,0.00006722209,0.00005472973,0.006440172,0.0003605351,0.0008324374,0.04656099,0.0005824055,0.0007571243],"study_design_scores_gemma":[0.0008083633,0.0001975431,0.8805976,0.0006729754,0.0000269118,0.000004433209,0.0001023305,0.00008184617,0.0005567812,0.006387833,0.1098078,0.0007556138],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.292978,0.00002354907,0.0000156112,0.00009046385,0.0002473765,0.0002382639,0.000006354753,0.00003654981,0.7063638],"genre_scores_gemma":[0.6526128,0.00009290407,0.0003022532,0.00009647439,0.00006931158,0.00002975953,0.00001287538,0.00006853462,0.3467151],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3596487,"threshold_uncertainty_score":0.9997727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02977017667097365,"score_gpt":0.2675868523810098,"score_spread":0.2378166757100361,"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."}}