{"id":"W4411398842","doi":"10.1177/10732748251349919","title":"Generative AI - Assisted Adaptive Cancer Therapy","year":2025,"lang":"en","type":"review","venue":"Cancer Control","topic":"Mathematical Biology Tumor Growth","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Toronto Metropolitan University","keywords":"Medicine; Context (archaeology); Artificial intelligence; Cancer therapy; Precision medicine; CLARITY; Leverage (statistics); Machine learning; Cancer; Computer science; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004002379,0.0006159657,0.0007294793,0.0005692263,0.0001522685,0.0007874757,0.00093972,0.0008345215,0.004028797],"category_scores_gemma":[0.001015527,0.0002310762,0.0008138019,0.0004424884,0.0006078282,0.0006182846,0.0006939404,0.001583338,0.001164402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007659431,"about_ca_system_score_gemma":0.0006337877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001144434,"about_ca_topic_score_gemma":0.001306178,"domain_scores_codex":[0.9998696,0.00003549085,0.000007900973,0.00002833741,0.00004636549,0.0000123032],"domain_scores_gemma":[0.9997388,0.0001880967,0.00001721742,0.00001703186,0.00002895355,0.000009997514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006931194,0.00006333431,0.0004265457,0.005860635,0.0002315577,0.0001701729,0.00008290618,0.05859251,0.002954544,0.08931945,0.02194556,0.8202834],"study_design_scores_gemma":[0.00007019602,0.000269979,0.001158047,0.002740946,0.0003044674,0.001539643,0.00007715799,0.09764245,0.006352987,0.1238818,0.7658466,0.000115866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002960263,0.8472949,0.1189099,0.003466407,0.00108625,0.00006060969,0.0001811234,0.0004667019,0.02557388],"genre_scores_gemma":[0.1170574,0.8343166,0.03265328,0.00188597,0.0008964351,0.0001699845,0.0003906521,0.000141846,0.01248775],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004028797,"threshold_uncertainty_score":0.01347768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.142185179195484,"score_gpt":0.4370320234793442,"score_spread":0.2948468442838602,"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."}}