{"id":"W2070062414","doi":"10.1118/1.3673069","title":"An anthropomorphic polyvinyl alcohol brain phantom based on Colin27 for use in multimodal imaging","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Ultrasound Imaging and Elastography","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Conseil Régional, Île-de-France; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Imaging phantom; Biomedical engineering; Medical imaging; Image registration; Computer science; Magnetic resonance imaging; Image processing; Artificial intelligence; Modality (human–computer interaction); Segmentation; Computer vision; Nuclear medicine; Materials science; Medicine; Radiology","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":[0.000634997,0.0005736834,0.0002784761,0.0005960662,0.0001904413,0.0005068798,0.0006761556,0.0005754198,0.001720488],"category_scores_gemma":[0.001172115,0.0002652811,0.0003076557,0.0004092999,0.0004391837,0.0003624998,0.0005371427,0.0004062765,0.0005253747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003917022,"about_ca_system_score_gemma":0.0007650279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006419784,"about_ca_topic_score_gemma":0.0007008821,"domain_scores_codex":[0.999826,0.00004987531,0.00001143899,0.0000401345,0.00005921044,0.00001329363],"domain_scores_gemma":[0.9995046,0.0002020239,0.00007573743,0.0001244891,0.00005978288,0.00003335282],"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":[0.000906813,0.0002712276,0.00206055,0.0006708001,0.00005623159,0.001377368,0.000276069,0.01874493,0.9059026,0.00363329,0.002193119,0.06390706],"study_design_scores_gemma":[0.0001275346,0.00149288,0.00899503,0.0001611964,0.0001780891,0.01440057,0.0001112807,0.06393738,0.8641248,0.002273371,0.04407272,0.0001251213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3235229,0.002283788,0.6638383,0.0008102675,0.0001784029,0.0006867254,0.001555395,0.002011297,0.005112853],"genre_scores_gemma":[0.6672714,0.001729185,0.3224512,0.0003593925,0.00003887896,0.0007719417,0.002630262,0.0005176777,0.004230071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001720488,"threshold_uncertainty_score":0.005755603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02602674987255467,"score_gpt":0.3285064931643666,"score_spread":0.3024797432918119,"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."}}