{"id":"W4403532716","doi":"10.2139/ssrn.4979429","title":"Dose Calculations Using Phantom Models in Workplaces","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Radiation Dose and Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Nuclear Laboratories; Canadian Nuclear Safety Commission; Atomic Energy (Canada); Government of Canada","funders":"","keywords":"Imaging phantom; Medical physics; Computer science; Environmental science; Nuclear engineering; Nuclear medicine; Engineering; Medicine","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001425734,0.0002465268,0.0003938236,0.0007106008,0.000113172,0.0001521487,0.0001577619,0.0002050462,0.00003580971],"category_scores_gemma":[0.00005073993,0.0002239319,0.0002297138,0.0003398727,0.00003019905,0.0001617563,0.0001610635,0.007941202,0.00002260478],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002747786,"about_ca_system_score_gemma":0.008289983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002912614,"about_ca_topic_score_gemma":0.000429419,"domain_scores_codex":[0.9971911,0.00009338735,0.0005318922,0.0003340404,0.0003530681,0.001496525],"domain_scores_gemma":[0.9993715,0.00003722417,0.0001753501,0.0002358709,0.00006676513,0.0001132846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005454049,0.0006294561,0.01160945,0.0006786681,0.003266592,0.0005941138,0.005989777,0.688267,0.002348418,0.1392828,0.000723861,0.1460645],"study_design_scores_gemma":[0.0009254668,0.00004830689,0.0003586856,0.001037955,0.0003375455,0.001317121,0.0009881499,0.4292798,0.00005703911,0.5651946,0.0001970692,0.0002582392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9341572,0.04309738,0.01608283,0.002889822,0.0007381825,0.0003927535,0.000007115382,0.00007333981,0.002561372],"genre_scores_gemma":[0.9906889,0.006383709,0.0003556215,0.0001291282,0.000880714,0.000008365617,0.00002404934,0.00005641111,0.001473076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4259118,"threshold_uncertainty_score":0.9973321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03184815038412039,"score_gpt":0.3306782988295693,"score_spread":0.2988301484454489,"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."}}