{"id":"W4394832497","doi":"10.1016/j.ijrobp.2023.11.025","title":"Moving Toward Personalized Medicine in Gynecologic Cancers","year":2024,"lang":"en","type":"editorial","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Personalized medicine; Gynecologic oncology; Medicine; Gynecologic cancer; Key (lock); Oncology; Medical physics; Internal medicine; Bioinformatics; Cancer; Computer science; Ovarian cancer; 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":[0.01232604,0.003648078,0.004402215,0.004070414,0.003570155,0.009573998,0.003759998,0.01893763,0.01406707],"category_scores_gemma":[0.03573007,0.001443528,0.003540368,0.001586319,0.002746026,0.005334049,0.002245063,0.03035705,0.007674113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004377072,"about_ca_system_score_gemma":0.004260342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002015918,"about_ca_topic_score_gemma":0.006383864,"domain_scores_codex":[0.9930513,0.001868761,0.000914613,0.0006489676,0.003101758,0.0004145369],"domain_scores_gemma":[0.9611813,0.02147882,0.001641844,0.0007363674,0.01077739,0.004184215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003895536,0.00001396602,0.00002829785,0.0003266081,0.00003139553,0.00007315975,0.00001320581,0.00003171005,0.00004955238,0.0003208544,0.9921888,0.006883408],"study_design_scores_gemma":[0.0001513791,0.00005802679,0.0004413913,0.001217461,0.0002097721,0.0003635956,0.00007220435,0.0003445119,0.0001401353,0.002313574,0.9946533,0.00003454505],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001983342,0.006666971,0.00009537754,0.03427426,0.957978,0.00001172105,0.00002498977,0.00003027064,0.0008985425],"genre_scores_gemma":[0.0001733775,0.003826315,0.00006689181,0.01495096,0.9784644,0.000009485296,0.00001084824,0.00001478114,0.002483007],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01893763,"threshold_uncertainty_score":0.06518704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02439248040924746,"score_gpt":0.360765906171911,"score_spread":0.3363734257626635,"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."}}