{"id":"W1999831736","doi":"10.1118/1.3260839","title":"Optimizing non‐Pb radiation shielding materials using bilayers","year":2009,"lang":"en","type":"article","venue":"Medical Physics","topic":"Radiation Shielding Materials Analysis","field":"Materials Science","cited_by":106,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Attenuation; Materials science; Electromagnetic shielding; Kerma; Fluence; Optics; Attenuation coefficient; Absorption (acoustics); Bilayer; Dosimetry; Composite material; Physics; Chemistry; Laser; Nuclear medicine","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":[0.0001853878,0.0006000475,0.0002365204,0.0003067384,0.0001629446,0.0003765826,0.0002863363,0.0002746065,0.0007643943],"category_scores_gemma":[0.0003536344,0.000253687,0.0002308263,0.0002033013,0.0001720356,0.0002788903,0.0003665403,0.0002502111,0.0005119033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001602562,"about_ca_system_score_gemma":0.0002015855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002785154,"about_ca_topic_score_gemma":0.0006421847,"domain_scores_codex":[0.9998674,0.0000159114,0.0000126402,0.00003496221,0.0000482471,0.00002073051],"domain_scores_gemma":[0.9998106,0.00003219274,0.00007077653,0.00002520281,0.0000435043,0.00001772718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003481307,0.00001545869,0.0002150388,0.00006535412,0.000005716301,0.00002219505,0.0000102261,0.000886439,0.996908,0.00005553741,0.00001744438,0.001763846],"study_design_scores_gemma":[0.0000113239,0.0002526986,0.001114138,0.00001344471,0.00003112441,0.00009599967,0.00002687094,0.00346611,0.9936256,0.00003053918,0.001326584,0.000005539455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841493,0.0008986848,0.01297441,0.00003270203,0.00002295273,0.00004770749,0.00008506086,0.0001239782,0.001665208],"genre_scores_gemma":[0.9675304,0.0007926521,0.03002025,0.00003414397,0.000006557857,0.00004869448,0.0001578574,0.00007569849,0.001333661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007643943,"threshold_uncertainty_score":0.002557158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02284404245134547,"score_gpt":0.2896190749463579,"score_spread":0.2667750324950124,"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."}}