{"id":"W2954356843","doi":"10.1021/acs.molpharmaceut.9b00422","title":"MicroSPECT/CT Imaging of Cell-Line and Patient-Derived EGFR-Positive Tumor Xenografts in Mice with Panitumumab Fab Modified with Hexahistidine Peptides To Enable Labeling with <sup>99m</sup>Tc(I) Tricarbonyl Complex","year":2019,"lang":"en","type":"article","venue":"Molecular Pharmaceutics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; University of Toronto","funders":"University of Toronto; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Canadian Cancer Society Research Institute; Terry Fox Foundation","keywords":"Panitumumab; Biodistribution; Cancer research; Chemistry; Medicine; Molecular imaging; Immunology; Biochemistry; Monoclonal antibody; Biology; Antibody; Cetuximab; In vivo","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001435107,0.0003525176,0.000586287,0.0002243881,0.00007064087,0.00003650359,0.0001581498,0.00002503651,0.00001905775],"category_scores_gemma":[0.00001846439,0.0002695462,0.00004263249,0.000679575,0.0002058735,0.00006684641,0.0001084956,0.0004073621,0.000004048311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001019765,"about_ca_system_score_gemma":0.0001191122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002039838,"about_ca_topic_score_gemma":0.000004151592,"domain_scores_codex":[0.9980733,0.00005230683,0.0004147094,0.0005477668,0.0004363245,0.0004756086],"domain_scores_gemma":[0.9987796,0.00006376526,0.0001899946,0.0003786615,0.000273046,0.0003149569],"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":[0.0007974362,0.0004626273,0.003808105,0.0002965495,0.00008340071,0.0005322917,0.0006297212,0.00168056,0.9909158,0.00005204197,0.0001039124,0.0006375369],"study_design_scores_gemma":[0.005859175,0.0008479886,0.0002804145,0.0008356003,0.0003638512,0.0003548756,0.000618731,0.05125361,0.9384772,0.00001988277,0.0006873934,0.0004012875],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838774,0.0004507917,0.01199213,0.001122743,0.000008160211,0.001902592,0.0000381653,0.0001027913,0.0005052298],"genre_scores_gemma":[0.9452919,0.00005110845,0.05256977,0.001807061,0.00001561933,0.00008547327,0.00006206457,0.00007921212,0.00003780231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05243862,"threshold_uncertainty_score":0.9999757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01728584720657224,"score_gpt":0.2839679194459691,"score_spread":0.2666820722393968,"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."}}