{"id":"W4390791548","doi":"10.1002/cam4.6780","title":"Establishing a robust radioligand therapy program: A practical approach for North American centers","year":2024,"lang":"en","type":"review","venue":"Cancer Medicine","topic":"Neuroendocrine Tumor Research Advances","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"Novartis Pharmaceuticals Corporation","keywords":"Radioligand; Medicine; Computer science; Internal medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02005631,0.001031761,0.001485508,0.001992184,0.001464283,0.004946685,0.00369398,0.005174536,0.006739494],"category_scores_gemma":[0.0227346,0.0006661507,0.001449631,0.001970905,0.001740096,0.007529432,0.003561938,0.007175714,0.004035308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003180931,"about_ca_system_score_gemma":0.0357539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00665744,"about_ca_topic_score_gemma":0.01574414,"domain_scores_codex":[0.9927171,0.003043137,0.001160028,0.0004946148,0.002032661,0.0005525184],"domain_scores_gemma":[0.9757782,0.009338916,0.002441802,0.0009440038,0.009380444,0.002116639],"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":[0.0001097039,0.0003794402,0.0009906644,0.0149804,0.00008891006,0.0005422789,0.0006629191,0.0008875609,0.001577658,0.02434689,0.1396904,0.8157432],"study_design_scores_gemma":[0.0000426865,0.0001590355,0.0008856834,0.0126661,0.00008916964,0.0004119381,0.0007614922,0.00015962,0.0004987645,0.006137955,0.9781462,0.0000413624],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001722604,0.6988239,0.02344752,0.2388476,0.006391054,0.001240892,0.0003488452,0.0006306357,0.02854684],"genre_scores_gemma":[0.01054263,0.8312764,0.1046214,0.04240985,0.0021832,0.001704199,0.0005098939,0.0001139193,0.006638569],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02005631,"threshold_uncertainty_score":0.1060691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1995229415328046,"score_gpt":0.4962116148645949,"score_spread":0.2966886733317903,"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."}}