{"id":"W3044556906","doi":"10.2150/jstl.ieij200000640","title":"The Adrian/CIE Visibility Model: A Visibility Level Calculator & 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.009928682,0.0001177953,0.0002171884,0.0002056278,0.001093514,0.00008134153,0.0009456381,0.000147993,0.00003726642],"category_scores_gemma":[0.001631119,0.00007289268,0.00003662054,0.002046816,0.003741959,0.000651044,0.0005640974,0.001065954,0.00002419201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004814239,"about_ca_system_score_gemma":0.0002295667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002403702,"about_ca_topic_score_gemma":0.0000729252,"domain_scores_codex":[0.9970986,0.00008339456,0.0005440117,0.0003705319,0.001174447,0.0007289941],"domain_scores_gemma":[0.9989459,0.0001339734,0.0002443584,0.0003011371,0.00008254296,0.0002920784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001353851,0.0002128659,0.7813723,0.00002788717,0.000009522656,0.00003156798,0.00514999,0.0002098122,0.1677595,0.003843545,0.00131689,0.03993075],"study_design_scores_gemma":[0.002031032,0.00131819,0.8287846,0.0001367466,0.00002464833,0.0002295905,0.01174406,0.02591397,0.0192011,0.06548937,0.0444312,0.0006954413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.927116,0.0002343954,0.0001321705,0.07174695,0.0000866592,0.000153152,0.000001038343,0.00001403022,0.0005156049],"genre_scores_gemma":[0.9962557,0.000195245,0.003065988,0.0003380231,0.0001041231,0.000002185626,5.892039e-8,0.000005897493,0.0000328022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1485584,"threshold_uncertainty_score":0.9989693,"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."}}