{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004690881,0.00059206,0.000384439,0.0005011765,0.0001480177,0.0002169166,0.0003431397,0.0006461534,0.001549345],"category_scores_gemma":[0.0001374034,0.0002452418,0.0002858494,0.0002884994,0.0002295807,0.0002891895,0.0001868251,0.000757477,0.000343244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004352412,"about_ca_system_score_gemma":0.0002681761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001707205,"about_ca_topic_score_gemma":0.001949945,"domain_scores_codex":[0.9998655,0.00002828808,0.000007532361,0.00003208979,0.00003100346,0.0000355472],"domain_scores_gemma":[0.9998906,0.00003035641,0.00002123597,0.00001101092,0.00001833847,0.00002845071],"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":[0.0001556344,0.00003168119,0.0002755098,0.00003424992,0.000005576373,0.0000969326,0.00002047357,0.0001799096,0.998157,0.00007987729,0.00007576671,0.0008873968],"study_design_scores_gemma":[0.00002719379,0.0006511822,0.005061809,0.000005888084,0.00003833762,0.001166917,0.00002854065,0.00616688,0.9852046,0.00004592768,0.001595071,0.000007598928],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646593,0.003397157,0.02518691,0.0002679233,0.00003438267,0.0001892486,0.00109788,0.0005330378,0.004634168],"genre_scores_gemma":[0.9409413,0.002056884,0.04676678,0.0002043741,0.00002492822,0.0003033343,0.001870255,0.0001548159,0.007677439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001707205,"threshold_uncertainty_score":0.005183041,"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."}}