{"id":"W2019448107","doi":"10.1097/01.hp.0000178537.20710.42","title":"The HML???s New Field Deployable, High-Resolution Whole Body Counter","year":2005,"lang":"en","type":"article","venue":"Health Physics","topic":"Radioactivity and Radon Measurements","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Activation Laboratories; Health Canada","funders":"","keywords":"Laptop; Calibration; Counting efficiency; Glovebox; Monte Carlo method; Nuclear engineering; Sensitivity (control systems); Nuclear physics; Physics; Computer science; Simulation; Optics; Detector; Engineering; Mathematics; Operating system; Statistics; Electronic engineering","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":[0.001119947,0.0002420574,0.0004715651,0.001161854,0.0002955311,0.0007388439,0.0008836809,0.0005807105,0.01370894],"category_scores_gemma":[0.001085779,0.0003150297,0.0002601143,0.0006351792,0.0003696409,0.0009619916,0.0008567277,0.0005675204,0.002756515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009767406,"about_ca_system_score_gemma":0.001343717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002052263,"about_ca_topic_score_gemma":0.005383378,"domain_scores_codex":[0.9989293,0.0001519511,0.00002945272,0.0001263805,0.0007114105,0.00005151608],"domain_scores_gemma":[0.9992604,0.0001274235,0.00007869671,0.000136406,0.0003191004,0.00007792003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001323517,0.0002869569,0.01676676,0.0003718729,0.00009937006,0.0004046976,0.0002152091,0.004886672,0.1844093,0.02005033,0.07013663,0.7010487],"study_design_scores_gemma":[0.0004845684,0.002032013,0.03922862,0.0001415828,0.0001748473,0.005945312,0.0001159116,0.09462333,0.2112672,0.002413802,0.6433285,0.0002442439],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.278585,0.006276121,0.4659065,0.004683448,0.002052705,0.001024989,0.008296165,0.04530777,0.1878672],"genre_scores_gemma":[0.4466452,0.001235671,0.3889436,0.002067547,0.0006575926,0.0003125011,0.005105393,0.0009985407,0.1540341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01370894,"threshold_uncertainty_score":0.04586101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0696025498944485,"score_gpt":0.4052869737592212,"score_spread":0.3356844238647727,"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."}}