{"id":"W2159957265","doi":"10.1007/s11307-013-0692-1","title":"Tumor Endothelial Marker Imaging in Melanomas Using Dual-Tracer Fluorescence Molecular Imaging","year":2013,"lang":"en","type":"article","venue":"Molecular Imaging and Biology","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"Molecular imaging; Fluorescence-lifetime imaging microscopy; Fluorescence; Positron emission tomography; Nuclear magnetic resonance; Medicine; Nuclear medicine; Biology; Optics; Physics; In vivo","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000283508,0.0003924514,0.0003159379,0.0001706671,0.0001197648,0.00009872,0.0002268758,0.00009310707,0.00007331809],"category_scores_gemma":[0.00006922695,0.0003717261,0.0001582908,0.0001517813,0.0003372163,0.0000224274,0.000300959,0.000170046,0.00001590661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004114309,"about_ca_system_score_gemma":0.00008972197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006899068,"about_ca_topic_score_gemma":0.00001112724,"domain_scores_codex":[0.9976608,0.0002085639,0.000399785,0.0008700066,0.0001121151,0.0007487166],"domain_scores_gemma":[0.9991563,0.00001802025,0.0001322539,0.0004324489,0.0001116823,0.000149285],"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":[0.00002615771,0.00003420662,0.1357754,0.0000138462,0.00002467392,0.000125334,0.00002443657,0.00002352736,0.8530965,0.0001089487,0.0002985325,0.01044843],"study_design_scores_gemma":[0.002791863,0.0001014837,0.047893,0.0001669804,0.0001098217,0.0013785,0.0003592058,0.01999348,0.8951496,0.001132734,0.02909589,0.001827405],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782737,0.01311091,0.005942892,0.0009702006,0.0002976485,0.0003365406,0.00002402829,0.00003341116,0.00101064],"genre_scores_gemma":[0.9931949,0.0001572206,0.003617389,0.002615867,0.0001827895,0.00005759934,0.0000570967,0.00006809613,0.00004903003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08788239,"threshold_uncertainty_score":0.9998735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008308324669376749,"score_gpt":0.2567174616111437,"score_spread":0.2484091369417669,"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."}}