{"id":"W1979905640","doi":"10.1093/rpd/ncs158","title":"Improving global laboratory capabilities for emergency radionuclide bioassay","year":2012,"lang":"en","type":"article","venue":"Radiation Protection Dosimetry","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Radionuclide; Radiological weapon; Bioassay; Environmental science; Computer science; Medicine; Biology; Nuclear physics; 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":[0.02778764,0.001269758,0.0006806617,0.003654502,0.001015662,0.003244796,0.002232929,0.001498521,0.008247619],"category_scores_gemma":[0.0153069,0.0004431097,0.0007071617,0.002087333,0.00130851,0.00740505,0.007964895,0.001295331,0.002659923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486926,"about_ca_system_score_gemma":0.007930364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002761245,"about_ca_topic_score_gemma":0.002932237,"domain_scores_codex":[0.9915486,0.004541995,0.0004320856,0.00100154,0.00135963,0.001116195],"domain_scores_gemma":[0.972323,0.006218384,0.003038932,0.004695248,0.01084689,0.002877595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007250048,0.0009023786,0.08183695,0.002199505,0.0002250396,0.0007465261,0.004106034,0.04259583,0.06482746,0.03957821,0.02514734,0.7371097],"study_design_scores_gemma":[0.0004429287,0.003232262,0.08004684,0.002302026,0.0005093374,0.002442382,0.01279056,0.03679411,0.07121896,0.04172643,0.7481291,0.0003651199],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.242919,0.0113326,0.548118,0.03738264,0.0007385562,0.002988584,0.001967632,0.006922063,0.147631],"genre_scores_gemma":[0.7027392,0.00678496,0.2758701,0.002275034,0.0003575448,0.001313125,0.00272243,0.0003516131,0.007586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02778764,"threshold_uncertainty_score":0.1469569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00926506682446538,"score_gpt":0.239494107608351,"score_spread":0.2302290407838857,"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."}}