{"id":"W4416295663","doi":"10.3390/cells14221804","title":"Precision Oncology: Current Landscape, Emerging Trends, Challenges, and Future Perspectives","year":2025,"lang":"en","type":"article","venue":"Cells","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Precision medicine; Precision oncology; Cancer Medicine; Cancer; Personalized medicine; CRISPR; Clinical Oncology; Minimal residual disease; Disease; Cancer treatment","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007382948,0.00009574665,0.0001051462,0.00005733342,0.00004960986,0.00001339879,0.00007852203,0.00009617389,0.00002117323],"category_scores_gemma":[0.00001338084,0.00009003622,0.0000411665,0.00004892627,0.0000302215,0.000001423272,0.0001099202,0.00007368138,0.000002737657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001657946,"about_ca_system_score_gemma":0.00005710854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002094368,"about_ca_topic_score_gemma":0.00003222257,"domain_scores_codex":[0.999441,0.00002096458,0.00009247866,0.0002797421,0.00003909814,0.0001266973],"domain_scores_gemma":[0.999687,0.00001849417,0.00003214373,0.0001785489,0.00003910323,0.00004476941],"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":[0.00005839668,0.00009471182,0.0001005166,0.00002739705,0.00003448066,0.000001741913,0.0005886521,0.000009553176,0.02374882,0.001580721,0.02924494,0.94451],"study_design_scores_gemma":[0.0004372651,0.0001124851,0.002107833,0.00001404057,0.00002019174,0.000001518157,0.00122576,0.00002351626,0.01066676,0.0001659328,0.9851202,0.0001044695],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2080815,0.7292518,0.0002090631,0.003360626,0.001969399,0.0001595018,0.00003984843,0.00001781537,0.05691049],"genre_scores_gemma":[0.5534518,0.4432952,0.0003463347,0.0001522498,0.001340139,0.00001833227,0.00005553403,0.00001519028,0.001325227],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9558753,"threshold_uncertainty_score":0.3671571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00894858007695426,"score_gpt":0.2804730619030913,"score_spread":0.2715244818261371,"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."}}