{"id":"W4313452266","doi":"10.1088/1361-6498/acad0e","title":"Eye-lens dose rate conversion factors due to hot particles and surface contaminations on the cornea","year":2022,"lang":"en","type":"article","venue":"Journal of Radiological Protection","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories; Canadian Nuclear Safety Commission; Public Works and Government Services Canada","funders":"","keywords":"Eye lens; Lens (geology); Cataracts; Cornea; Radiation protection; Dosimetry; Equivalent dose; Radionuclide; Eye protection; Ionizing radiation; Optics; Environmental science; Medicine; Nuclear medicine; Ophthalmology; Physics; Irradiation; Nuclear 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":[0.0009358177,0.0002844228,0.0003888006,0.001389567,0.0001830883,0.0007158117,0.0003791065,0.0003435264,0.002887576],"category_scores_gemma":[0.002148608,0.0001833634,0.0005520089,0.001432112,0.0003473273,0.0003496579,0.0004905098,0.0003338,0.000471545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006447733,"about_ca_system_score_gemma":0.0003262258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002172469,"about_ca_topic_score_gemma":0.001597843,"domain_scores_codex":[0.9989499,0.0001922383,0.0001054896,0.0001643774,0.0005144382,0.0000735396],"domain_scores_gemma":[0.9972583,0.001307816,0.0005843931,0.0002665143,0.0005349499,0.00004790193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00299371,0.00009105986,0.4476432,0.001408141,0.0004349245,0.001689669,0.0006754621,0.01836735,0.436012,0.001150156,0.0007677895,0.08876654],"study_design_scores_gemma":[0.00002475105,0.0009633296,0.3793318,0.0001046813,0.0001923527,0.002725813,0.0004125437,0.006909288,0.6035712,0.000310062,0.005408321,0.00004579901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838881,0.003003841,0.007552024,0.00002352901,0.00001297394,0.00004401793,0.000850663,0.0001035726,0.004521257],"genre_scores_gemma":[0.9955165,0.0008697779,0.001814992,0.00001965552,0.000002914477,0.000020398,0.0004165252,0.00003340507,0.001305785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002887576,"threshold_uncertainty_score":0.009659886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05236140115016114,"score_gpt":0.2724561483498304,"score_spread":0.2200947471996693,"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."}}