{"id":"W4416083474","doi":"10.1200/cci-25-00044","title":"Review of Large Language Models for Patient and Caregiver Support in Cancer Care Delivery","year":2025,"lang":"en","type":"review","venue":"JCO Clinical Cancer Informatics","topic":"Cancer survivorship and care","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Telehealth; MEDLINE; Health care; Narrative review; Clinical trial; Patient safety; Cancer; Precision medicine","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":[0.0005953079,0.0004182548,0.003394165,0.0001999482,0.00003121558,0.00001183945,0.0002097848,0.0004991798,0.0001244999],"category_scores_gemma":[0.0002262471,0.0003251956,0.0009113257,0.0003977037,0.00008312149,0.0001320389,0.0002128416,0.0006272577,0.000002072622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003929171,"about_ca_system_score_gemma":0.002931857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007411247,"about_ca_topic_score_gemma":0.002786111,"domain_scores_codex":[0.996094,0.0000949317,0.002797599,0.0002819543,0.0003538626,0.0003776028],"domain_scores_gemma":[0.9971989,0.000553015,0.000976754,0.0005676349,0.0005213881,0.0001822541],"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":[0.00002912584,0.0000305482,0.00005391254,0.4355897,0.0000900748,0.000002956312,0.002576716,0.000001469642,7.705629e-10,0.00002096618,0.007129067,0.5544755],"study_design_scores_gemma":[0.0007993142,0.0001918089,0.000003047059,0.2581558,0.001859189,0.000002625285,0.001773452,0.0000500828,2.626457e-7,0.000003346196,0.736928,0.0002330982],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003724664,0.9900945,0.00005812091,0.00005396371,0.0008906218,0.002945458,0.004163293,0.00002237893,0.001734427],"genre_scores_gemma":[0.00004471485,0.992676,0.0001382612,0.004763696,0.000175898,0.001183749,0.0007401344,0.00003656906,0.0002410194],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7297989,"threshold_uncertainty_score":0.99992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08435787876696679,"score_gpt":0.4636434668287081,"score_spread":0.3792855880617413,"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."}}