{"id":"W1983471716","doi":"10.1158/1538-7445.am2014-4948","title":"Abstract 4948: PET/CT clinical protocol design for the novel, first in class 68Ga labeled guanylyl cyclase C targeted peptide MLN6907 ([68Ga]MLN6907)","year":2014,"lang":"en","type":"article","venue":"Cancer Research","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nickel Institute","funders":"","keywords":"In vivo; Medicine; Ex vivo; Vascularity; Biomarker; Positron emission tomography; Preclinical imaging; Molecular imaging; Cancer research; Nuclear medicine; Pathology; Chemistry; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00328369,0.0005867363,0.0003036176,0.0004113549,0.0003136227,0.00074928,0.0008435075,0.0006706627,0.00862212],"category_scores_gemma":[0.002465014,0.0005627954,0.0001914941,0.0002861793,0.0003556435,0.0004580692,0.0003981753,0.000584497,0.002420474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007852191,"about_ca_system_score_gemma":0.001590048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007426678,"about_ca_topic_score_gemma":0.0008968013,"domain_scores_codex":[0.9993566,0.0003039811,0.00005472685,0.0001065163,0.0001376724,0.00004053205],"domain_scores_gemma":[0.9992589,0.0002750493,0.0001200164,0.00008167192,0.0001874046,0.00007686231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00680326,0.0006380295,0.005991412,0.0007578103,0.00009460121,0.0007019141,0.0002797448,0.03180845,0.8354256,0.004928089,0.009105356,0.1034659],"study_design_scores_gemma":[0.001713282,0.00620184,0.01789465,0.0001148041,0.0002280536,0.002595748,0.0001561261,0.1724909,0.7221674,0.001465216,0.07480973,0.0001623018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.1483663,0.0007534944,0.8262425,0.0007752645,0.0001071478,0.0114679,0.001261683,0.003159947,0.007865657],"genre_scores_gemma":[0.4780352,0.0006913629,0.4926198,0.000963984,0.00007053539,0.01827696,0.001889361,0.001172527,0.006280246],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.00862212,"threshold_uncertainty_score":0.02884382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2604551980831771,"score_gpt":0.5338957675463034,"score_spread":0.2734405694631263,"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."}}