{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005535546,0.0002180277,0.0003434803,0.0001332684,0.00009509354,0.00002939002,0.0001260335,0.00009461589,0.00007465604],"category_scores_gemma":[0.0006244882,0.0001857432,0.0001508727,0.0003225115,0.0003229796,0.0002880538,0.00001397549,0.0004114308,0.00002296695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005925615,"about_ca_system_score_gemma":0.0001392808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002981706,"about_ca_topic_score_gemma":0.0000135708,"domain_scores_codex":[0.998103,0.00007192769,0.0002601291,0.000304911,0.0006218185,0.0006382156],"domain_scores_gemma":[0.9982632,0.0006585493,0.00005887007,0.0003598123,0.00006412969,0.0005954452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007078348,0.005686793,0.9125995,0.0001414226,0.00005124354,0.00002652591,0.0006642586,0.0000417443,0.01064129,0.0002959529,0.004905907,0.06423751],"study_design_scores_gemma":[0.03079816,0.001806209,0.345794,0.001539294,0.0003260743,0.00009509809,0.0004361446,0.566596,0.01397536,0.000636839,0.03656795,0.001428847],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8533154,0.0001050327,0.1395918,0.00513865,0.0006782078,0.0006687822,0.0000597375,0.0001880253,0.0002544115],"genre_scores_gemma":[0.9860603,0.00000500553,0.003279061,0.009257874,0.001107499,0.00004746272,0.0001683921,0.00005176782,0.00002264793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5668055,"threshold_uncertainty_score":0.7574388,"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."}}