{"id":"W2004866279","doi":"10.1093/rpd/ncq199","title":"Considerations in screeneing/measuring children with internal/external contamination","year":2010,"lang":"en","type":"article","venue":"Radiation Protection Dosimetry","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Contamination; Environmental science; Radioactive contamination; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03208233,0.0007493615,0.001041952,0.002995287,0.001830084,0.002339685,0.002726174,0.002927681,0.002262653],"category_scores_gemma":[0.05579143,0.000571722,0.0009635616,0.001683217,0.002979379,0.001931068,0.001752912,0.002320701,0.0008983835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001828862,"about_ca_system_score_gemma":0.004772923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05440219,"about_ca_topic_score_gemma":0.08628828,"domain_scores_codex":[0.9743627,0.01692404,0.002892473,0.001211292,0.003770881,0.0008386247],"domain_scores_gemma":[0.9664927,0.01958244,0.002251636,0.001090933,0.009261037,0.00132113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006988975,0.000438532,0.569972,0.002489142,0.0001411604,0.00634232,0.0216178,0.002202706,0.005793641,0.005805098,0.0313118,0.3531869],"study_design_scores_gemma":[0.0001215131,0.003965378,0.6343309,0.006437255,0.0006837639,0.03762299,0.09418641,0.007683129,0.02522359,0.01184629,0.1776032,0.0002956873],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5466526,0.05220029,0.1017699,0.2037078,0.003847578,0.003453453,0.001910219,0.001026685,0.08543146],"genre_scores_gemma":[0.793559,0.01597747,0.1632098,0.01597144,0.0009543297,0.002107321,0.0003270801,0.0001652383,0.007728354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05440219,"threshold_uncertainty_score":0.1696696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01601358612457595,"score_gpt":0.2766995749741356,"score_spread":0.2606859888495597,"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."}}