{"id":"W3044556906","doi":"10.2150/jstl.ieij200000640","title":"The Adrian/CIE Visibility Model: A Visibility Level Calculator &amp; Future Research","year":2020,"lang":"en","type":"article","venue":"Journal of Science and Technology in Lighting","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Visibility; Luminance; Calculator; Computer science; Contrast (vision); Artificial intelligence; Computer vision; Computer graphics (images); Simulation; Optics; Physics","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":[0.006729422,0.002046784,0.001097629,0.004269517,0.0007425917,0.006974699,0.005234686,0.002136459,0.007339862],"category_scores_gemma":[0.02504812,0.0009001584,0.001288463,0.003641577,0.001574745,0.006170316,0.002122214,0.002651321,0.002949293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003979289,"about_ca_system_score_gemma":0.003725599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0171318,"about_ca_topic_score_gemma":0.01187073,"domain_scores_codex":[0.995648,0.001363523,0.0003235629,0.0005893237,0.001898712,0.000176924],"domain_scores_gemma":[0.9910004,0.003277123,0.0007229485,0.001053003,0.003559305,0.0003871336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003350069,0.0005387664,0.01646895,0.0016625,0.00014091,0.0001978689,0.0005264084,0.02926929,0.003438387,0.08332176,0.0311168,0.8329834],"study_design_scores_gemma":[0.0001744085,0.001142135,0.02476368,0.002630384,0.0003074579,0.002218491,0.00105337,0.5630972,0.01358924,0.1056899,0.2845375,0.0007961104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02322891,0.03148879,0.8768908,0.0102952,0.001270249,0.001112931,0.001035304,0.005368629,0.04930921],"genre_scores_gemma":[0.1963833,0.01620596,0.7690789,0.00126313,0.0003018077,0.001107472,0.0009703352,0.000858124,0.01383094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0171318,"threshold_uncertainty_score":0.03558904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0903056260765307,"score_gpt":0.3619680587136,"score_spread":0.2716624326370694,"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."}}