{"id":"W2015583343","doi":"10.1016/j.neuroimage.2006.03.052","title":"A new improved version of the realistic digital brain phantom","year":2006,"lang":"en","type":"article","venue":"NeuroImage","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":283,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Neurological Institute and Hospital; McGill University","funders":"","keywords":"Imaging phantom; Computer science; Voxel; Ground truth; Segmentation; Computer vision; Artificial intelligence; Process (computing); Medical physics; Biomedical engineering; Nuclear medicine; Physics; Medicine","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":[0.00003978358,0.00005848629,0.00009250901,0.00002038983,0.00002950002,0.00001308774,0.0001055494,0.00002468474,0.0000610546],"category_scores_gemma":[0.0001632777,0.00003837212,0.00006387906,0.0001344665,0.00006780959,0.00003509257,0.00005415054,0.0001093432,0.00001052415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001055294,"about_ca_system_score_gemma":0.00005088292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002369089,"about_ca_topic_score_gemma":0.000001930211,"domain_scores_codex":[0.9994893,0.000008482233,0.0001349979,0.000125372,0.0001446027,0.00009722362],"domain_scores_gemma":[0.9994823,0.00005328071,0.0000520901,0.0003256066,0.00002770001,0.00005897302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002164595,0.0000933614,0.001378971,0.00002861521,0.000002710656,0.000007757115,0.00000934932,1.962685e-7,0.5032934,0.001071493,0.4874887,0.006603816],"study_design_scores_gemma":[0.003674177,0.0004426008,0.1508983,0.000288239,0.0001853335,0.0002149455,0.00001922883,0.007231717,0.1556098,0.007991897,0.6731356,0.0003081966],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6982152,0.00008734166,0.0509936,0.1410132,0.0002723762,0.00181893,0.0001709866,0.000661336,0.106767],"genre_scores_gemma":[0.9892592,0.000002524289,0.002813383,0.001017518,0.0001174748,0.000004567939,0.00002382882,0.00001248929,0.006749029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3476836,"threshold_uncertainty_score":0.156477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122548675510944,"score_gpt":0.2761005889552632,"score_spread":0.2648751022001538,"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."}}