{"id":"W7061819249","doi":"","title":"The role of 3D digital quantitative histopathology coregistration to ultrasound, PET-CT and MRI (Canadian Atherosclerosis Imaging Network)","year":2011,"lang":"en","type":"other","venue":"UCL Discovery (University College London)","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medical imaging; Magnetic resonance imaging; Histopathology; Digital imaging; Phase imaging; Computed tomography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005305992,0.0002628716,0.0002838477,0.0002977029,0.0002155844,0.00005272299,0.0003406038,0.00005497807,0.00006173449],"category_scores_gemma":[0.00003139101,0.0002795977,0.00006174876,0.0003187305,0.0003012214,0.000406183,0.00008092657,0.0001813592,0.00003091944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000228137,"about_ca_system_score_gemma":0.0000752271,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001956232,"about_ca_topic_score_gemma":0.06011822,"domain_scores_codex":[0.9990973,0.00002751032,0.0001399526,0.0002973934,0.0001074486,0.0003303209],"domain_scores_gemma":[0.9992903,0.00009057203,0.0001207449,0.0003727492,0.00003496697,0.00009062664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000202001,0.00008256139,0.01356037,0.000157154,0.0004675154,0.0005053415,0.001225313,0.008802394,0.001874231,0.4586069,0.5047247,0.009791498],"study_design_scores_gemma":[0.0005576991,0.000138655,0.00178507,0.000165768,0.00009492122,0.0000785278,0.006034928,0.001983326,0.0001899927,0.001589347,0.9864861,0.0008956363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04403047,0.01174706,0.07941,0.0004049483,0.002313721,0.002666422,0.01171114,0.00182193,0.8458943],"genre_scores_gemma":[0.7787309,0.002996054,0.00953962,0.00005194176,0.00008920165,0.000009828593,0.0002039932,0.0003937134,0.2079848],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7347004,"threshold_uncertainty_score":0.9999656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005101035885734176,"score_gpt":0.1683516974605149,"score_spread":0.1632506615747807,"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."}}