{"id":"W4396826026","doi":"10.1016/j.jmir.2024.03.021","title":"Precision Medicine or Personalized Medicine: Where does Radiotheranostics fit? A Scoping Review ","year":2024,"lang":"en","type":"review","venue":"Journal of medical imaging and radiation sciences","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre","funders":"","keywords":"Personalized medicine; Precision medicine; Medical physics; Computer science; Medicine; Bioinformatics; Pathology; 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":[0.007008526,0.001382142,0.004438807,0.007099131,0.0005688198,0.004240351,0.001693194,0.003948299,0.006003539],"category_scores_gemma":[0.01651423,0.000755144,0.002389614,0.006058308,0.001956642,0.004515259,0.002477218,0.00277748,0.001121088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002593786,"about_ca_system_score_gemma":0.008196926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004034014,"about_ca_topic_score_gemma":0.007941918,"domain_scores_codex":[0.9973338,0.0008779227,0.0006968651,0.0003024538,0.0006388065,0.0001502922],"domain_scores_gemma":[0.9863701,0.01056257,0.001344918,0.0001539129,0.001361446,0.0002071215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001772061,0.00005721427,0.0003488643,0.2669002,0.0009565523,0.0001887933,0.0003482018,0.0002331747,0.0004968448,0.005512931,0.02537777,0.6994021],"study_design_scores_gemma":[0.0001201022,0.0001901806,0.0008627809,0.5329576,0.003965417,0.0007140107,0.000592401,0.0001608642,0.0002697058,0.00401853,0.4560863,0.00006204671],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003241881,0.9991204,0.00004378504,0.0004523769,0.0001349865,0.000009244295,0.00001462599,0.000001895492,0.0001902213],"genre_scores_gemma":[0.0004652148,0.9982645,0.0001956463,0.0007933815,0.0001333539,0.00002170388,0.00001632025,0.000001404108,0.0001085453],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007099131,"threshold_uncertainty_score":0.03706503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08770435258566972,"score_gpt":0.4953562231957873,"score_spread":0.4076518706101176,"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."}}