{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001108966,0.0008961491,0.001056583,0.0008737039,0.000452817,0.002047103,0.001262059,0.002300618,0.005283388],"category_scores_gemma":[0.005236715,0.00100191,0.001257282,0.001260866,0.0002926917,0.0007557189,0.0007633268,0.0008357514,0.001444739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009280891,"about_ca_system_score_gemma":0.0007309059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003300944,"about_ca_topic_score_gemma":0.002305142,"domain_scores_codex":[0.9993632,0.0002354723,0.00004630684,0.00007406901,0.0002360069,0.00004493751],"domain_scores_gemma":[0.9971885,0.001986533,0.0001891403,0.0001965599,0.0003688149,0.00007043502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004388342,0.0001473141,0.003214963,0.0004940316,0.0000869348,0.0004596417,0.0003262268,0.9474614,0.01588015,0.002759992,0.00247013,0.02626047],"study_design_scores_gemma":[0.0001173167,0.0004472631,0.004144586,0.0001946269,0.0001447148,0.0009180144,0.0002340103,0.9469527,0.03509808,0.003720628,0.00792845,0.00009960168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2929457,0.003778973,0.6586551,0.0008060237,0.0002728885,0.000333347,0.003337251,0.004514565,0.03535621],"genre_scores_gemma":[0.8917693,0.001205259,0.09287843,0.0001611648,0.00003262514,0.0001549555,0.001360036,0.001826359,0.01061189],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005283388,"threshold_uncertainty_score":0.01767468,"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."}}