{"id":"W2748721182","doi":"10.1088/1361-6579/aa87f0","title":"Coherent normalization for<i>in vivo</i>measurements of gadolinium in bone","year":2017,"lang":"en","type":"article","venue":"Physiological Measurement","topic":"Radiation Shielding Materials Analysis","field":"Materials Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Ryerson University","keywords":"Normalization (sociology); Monte Carlo method; Imaging phantom; Gadolinium; In vivo; Biomedical engineering; Excitation; Materials science; Nuclear medicine; Physics; Medicine; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002653169,0.0009488139,0.0003045863,0.0006642504,0.0003319027,0.0008615649,0.001077084,0.0005950151,0.002033592],"category_scores_gemma":[0.009287017,0.0005377828,0.000528532,0.0008001896,0.0008838915,0.001054467,0.0009600916,0.0007458662,0.000704729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001368021,"about_ca_system_score_gemma":0.001261755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002188786,"about_ca_topic_score_gemma":0.00373993,"domain_scores_codex":[0.9989225,0.0003705736,0.00006125612,0.0001920016,0.0004051326,0.00004862317],"domain_scores_gemma":[0.9980136,0.0009499735,0.0004465017,0.0002491185,0.0003015835,0.00003920831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005103004,0.0002510758,0.01306949,0.0006950279,0.0002277882,0.0002640054,0.0003665723,0.1317033,0.7447078,0.009252799,0.001213824,0.09773792],"study_design_scores_gemma":[0.00004247426,0.0004193845,0.01308397,0.0001110687,0.0001965382,0.000539165,0.00008605834,0.3592668,0.6172631,0.003949148,0.004932579,0.0001096416],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08300688,0.0007434141,0.9130057,0.0002056874,0.00005658999,0.000142085,0.0001270681,0.0008350391,0.0018776],"genre_scores_gemma":[0.5569155,0.0008083189,0.4397057,0.000271101,0.00002842978,0.0002503316,0.000331534,0.0005927746,0.001096273],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002653169,"threshold_uncertainty_score":0.01403147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.174198895574339,"score_gpt":0.3293239280526466,"score_spread":0.1551250324783076,"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."}}