{"id":"W2524887677","doi":"10.1259/bjr.20160480","title":"Optimizing dual energy cone beam CT protocols for preclinical imaging and radiation research","year":2016,"lang":"en","type":"review","venue":"British Journal of Radiology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Digital Enhanced Cordless Telecommunications; Imaging phantom; Effective atomic number; Nuclear medicine; Radiation; Calibration; Biomedical engineering; Materials science; Optics; Medicine; Physics; Computer science; Attenuation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001836736,0.0002467109,0.00150475,0.0002988868,0.0001434872,0.00009358688,0.0002594944,0.0001661703,0.00001639599],"category_scores_gemma":[0.0006754757,0.0002384295,0.0003026643,0.0001244903,0.0002148766,0.0003011702,0.00005480474,0.0008828345,0.000001837785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001694843,"about_ca_system_score_gemma":0.0001783448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002317247,"about_ca_topic_score_gemma":0.00000110549,"domain_scores_codex":[0.9975123,0.0003541564,0.001156655,0.0002650632,0.0001767005,0.000535063],"domain_scores_gemma":[0.9974507,0.001635368,0.0003947639,0.0001404649,0.00020972,0.0001689629],"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":[0.00001524688,0.00001396168,0.000002177007,0.001781082,0.0001398625,0.0003288901,0.00001039135,0.0001035558,0.000009700523,0.00007920168,0.006905389,0.9906105],"study_design_scores_gemma":[0.0009003262,0.0001340919,0.000002102228,0.01415761,0.00008646832,0.06368905,0.00001148613,0.0001764341,0.00001087673,0.000493254,0.9200982,0.0002400406],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000006752271,0.9744825,0.02249963,0.00003230531,0.0004366742,0.002342258,0.00005549155,0.00003472423,0.0001096685],"genre_scores_gemma":[0.00003959151,0.9927767,0.003865721,0.00001644563,0.001688918,0.001444429,0.00001800385,0.00008844138,0.00006177946],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9903705,"threshold_uncertainty_score":0.9722874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0673055005066329,"score_gpt":0.4046384051101456,"score_spread":0.3373329046035127,"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."}}