{"id":"W3206868276","doi":"10.15353/cjo.v47i2.4431","title":"Spectral Characteristics of Sports and Occupational Tinted Lenses","year":2021,"lang":"en","type":"article","venue":"Canadian journal of optometry/CJO. Canadian journal of optometry","topic":"Ocular and Laser Science Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"GLARE; Lens (geology); Variety (cybernetics); Eye protection; Optometry; Engineering; Optics; Computer science; Medicine; Materials science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00175216,0.0003038115,0.00108177,0.005362365,0.0002441511,0.0002067594,0.0004608695,0.000229547,0.002013221],"category_scores_gemma":[0.001804568,0.000280935,0.0004473445,0.002985861,0.000597593,0.0004385447,0.00002338024,0.001116023,0.000006125098],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006568383,"about_ca_system_score_gemma":0.02082476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009257892,"about_ca_topic_score_gemma":0.000752489,"domain_scores_codex":[0.9959398,0.0001359532,0.001460472,0.00025714,0.001275449,0.0009311729],"domain_scores_gemma":[0.9898223,0.0001896376,0.0009815089,0.0003172055,0.00335734,0.005332068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001065001,0.00004012435,0.9838052,0.0001394276,0.0002786121,0.009129676,0.0002718521,0.000009600618,0.0009191697,0.00001031457,0.001968684,0.003320819],"study_design_scores_gemma":[0.001300495,0.0004219539,0.9731954,0.0008184848,0.0001968743,0.01719003,0.0007519114,0.00004328623,0.003824245,0.000006167023,0.002014059,0.0002370785],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916445,0.003920028,0.0002819406,0.002013935,0.0009321407,0.000112935,0.0001795449,0.000002401635,0.0009125615],"genre_scores_gemma":[0.9956457,0.0003762319,0.002572308,0.0003228391,0.0005839776,3.619291e-7,0.00001585477,0.00003988224,0.0004428647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02016793,"threshold_uncertainty_score":0.9999643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02005931777705003,"score_gpt":0.340911794669947,"score_spread":0.320852476892897,"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."}}