{"id":"W2706990230","doi":"10.1002/mp.12428","title":"A realistic phantom for validating <scp>MRI</scp>‐based synthetic <scp>CT</scp> images of the human skull","year":2017,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Hospital; University of British Columbia; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Cancer Care Ontario","keywords":"Imaging phantom; Skull; Cortical bone; Human skull; Biomedical engineering; Nuclear medicine; Anatomy; Computer science; Medicine","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":[0.001076241,0.000494267,0.0001837749,0.0006464691,0.0002111116,0.0005225017,0.0004853316,0.000690945,0.001884697],"category_scores_gemma":[0.002956441,0.0003759524,0.0002602787,0.0004257575,0.000572477,0.0003537779,0.0005520817,0.0003198573,0.0004104064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002883446,"about_ca_system_score_gemma":0.0006146423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009271217,"about_ca_topic_score_gemma":0.001007154,"domain_scores_codex":[0.9995974,0.0001377133,0.000032539,0.00004982245,0.0001613912,0.000021221],"domain_scores_gemma":[0.9988463,0.0004576608,0.0001392648,0.0002780158,0.0002169508,0.00006175971],"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":[0.0005621793,0.0002301209,0.002245695,0.0006080481,0.00007721665,0.001663863,0.0003360534,0.04509844,0.9095545,0.00366256,0.001814579,0.03414669],"study_design_scores_gemma":[0.0002204524,0.002862834,0.01730267,0.0002209017,0.0002654586,0.01937374,0.0004678891,0.1701665,0.7499307,0.002695253,0.03627924,0.0002144402],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3247988,0.001394483,0.663893,0.000542715,0.0001876827,0.001007925,0.001492373,0.001316595,0.005366359],"genre_scores_gemma":[0.6984832,0.001106633,0.2950098,0.0003087373,0.00002787485,0.0006721434,0.001456924,0.0002956357,0.002639072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001884697,"threshold_uncertainty_score":0.00630492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03891713710228743,"score_gpt":0.3659473785302703,"score_spread":0.3270302414279829,"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."}}