{"id":"W120624973","doi":"10.53846/goediss-4514","title":"In vivo Optical Imaging zum Nachweis der Leberrepopulation nach Konditionierung der Empfängerleber und Hepatozytentransplantation","year":2014,"lang":"de","type":"dissertation","venue":"","topic":"Organ Transplantation Techniques and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"In vivo; Ex vivo; Preclinical imaging; Immunofluorescence; Transplantation; Fluorescence-lifetime imaging microscopy; Biodistribution; Pathology; Optical imaging; Molecular biology; Chemistry; Biology; Fluorescence; Medicine; Immunology; Antibody; Internal medicine; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004468561,0.0005107888,0.0002607206,0.0004607192,0.0001269853,0.0002197406,0.0002767781,0.0003247831,0.001015121],"category_scores_gemma":[0.0001692401,0.0001419665,0.0002241758,0.0001976136,0.0002956627,0.0002945536,0.0001612068,0.0006283362,0.0002380496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002226585,"about_ca_system_score_gemma":0.0002149855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004773815,"about_ca_topic_score_gemma":0.0005633069,"domain_scores_codex":[0.9998282,0.00003502758,0.000008972897,0.00003828836,0.00004279612,0.00004671616],"domain_scores_gemma":[0.9999142,0.00002632151,0.00002627298,0.0000115418,0.00001011283,0.00001158056],"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":[0.0002675874,0.00007684974,0.0001829298,0.00005175257,0.000005088173,0.00006292184,0.000014383,0.0001280272,0.9941571,0.00008265946,0.00004102908,0.004929658],"study_design_scores_gemma":[0.00001506949,0.0008846622,0.002402942,0.000005314685,0.0000252598,0.0002096006,0.00001846387,0.001346323,0.9942468,0.00003924033,0.0008018123,0.000004581248],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9496422,0.004770806,0.04182767,0.0001143378,0.00009065281,0.000129059,0.0002020961,0.0004670973,0.002755966],"genre_scores_gemma":[0.9718184,0.003252978,0.02130276,0.00005588991,0.00003946743,0.0001453999,0.0003292786,0.00005487103,0.003000938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001015121,"threshold_uncertainty_score":0.003395915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008288371738007618,"score_gpt":0.3057004715726507,"score_spread":0.2974120998346431,"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."}}