{"id":"W3186286798","doi":"10.3390/cancers13143607","title":"Target Heterogeneity in Oncology: The Best Predictor for Differential Response to Radioligand Therapy in Neuroendocrine Tumors and Prostate Cancer","year":2021,"lang":"en","type":"review","venue":"Cancers","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Prostate cancer; Medicine; Radionuclide therapy; Neuroendocrine tumors; Oncology; Cancer; Radioligand; Targeted therapy; Tumor heterogeneity; Internal medicine; Cancer research; Receptor","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003187995,0.0004277838,0.001732382,0.0003135923,0.00008116797,0.00003959309,0.0001866845,0.0001098865,0.00004071291],"category_scores_gemma":[0.000140637,0.0002565374,0.0002282906,0.0005416684,0.0001837674,0.00003949385,0.00009939733,0.0005405465,0.000001437942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003573518,"about_ca_system_score_gemma":0.005606805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004482963,"about_ca_topic_score_gemma":0.0006029409,"domain_scores_codex":[0.997463,0.000430784,0.0005210579,0.000701917,0.000234101,0.0006490989],"domain_scores_gemma":[0.9987603,0.0004054052,0.0001340962,0.0003663054,0.00007876598,0.0002551557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.009982905,0.0001460031,0.003368719,0.005236427,0.000468111,0.0010664,0.000908898,0.00003324865,0.0001059814,0.00000272525,0.001663851,0.9770167],"study_design_scores_gemma":[0.005021125,0.001569525,0.0007642313,0.007846235,0.0001900713,0.00008480308,0.0001099908,0.00002560462,0.0001880147,0.000003906367,0.9839504,0.000246094],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1485013,0.8438979,0.000001074359,0.00117819,0.0003595757,0.005496846,0.0005363695,0.00001333692,0.00001540487],"genre_scores_gemma":[0.0024112,0.989341,0.00002551496,0.0002593732,0.0002755561,0.006514919,0.0001589934,0.00007706273,0.0009363648],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9822866,"threshold_uncertainty_score":0.9999887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0724530169037287,"score_gpt":0.4177171710943418,"score_spread":0.3452641541906131,"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."}}