{"id":"W3111258091","doi":"","title":"The urotensin-II receptor is a new target for imaging neuroendocrine tumors with radiolabeled DOTA-peptide ligands","year":2017,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Cardiovascular, Neuropeptides, and Oxidative Stress Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Peptide receptor; DOTA; Neuroendocrine tumors; Peptide; Cancer research; Urotensin-II; Chemistry; Receptor; Endocrinology; Medicine; Chelation; Biochemistry","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":[0.00022913,0.0003340199,0.0002652571,0.0001853211,0.0001717031,0.0005602815,0.0002289588,0.000600638,0.001563411],"category_scores_gemma":[0.0001837998,0.0002438573,0.0001804219,0.0001471401,0.0002044231,0.0004553932,0.0002494144,0.0005809189,0.000444769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003042314,"about_ca_system_score_gemma":0.0001654329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005534745,"about_ca_topic_score_gemma":0.0006979838,"domain_scores_codex":[0.9999285,0.00001722679,0.000002445498,0.00002187566,0.00001290535,0.00001706696],"domain_scores_gemma":[0.9999504,0.0000147469,0.000008820301,0.000004833034,0.000006566817,0.00001460248],"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":[0.0001490541,0.00001178298,0.0002384785,0.0001035507,0.00001399958,0.0002136067,0.00002710695,0.0001551313,0.9943985,0.0005606867,0.0001897503,0.003938355],"study_design_scores_gemma":[0.00006689187,0.0003393914,0.00340769,0.00002627833,0.00007158711,0.001552666,0.00008157211,0.006017539,0.9742118,0.0005612117,0.01364117,0.00002240573],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9121121,0.0209531,0.05754014,0.001235667,0.0002692152,0.00008728535,0.0002403416,0.0002708484,0.007291309],"genre_scores_gemma":[0.9515989,0.006745584,0.0308352,0.0004103744,0.00008024139,0.00007163533,0.00028103,0.00008902545,0.009888038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001563411,"threshold_uncertainty_score":0.005230069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01830588458493088,"score_gpt":0.2651430611690244,"score_spread":0.2468371765840935,"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."}}