{"id":"W4409566964","doi":"10.1002/cpt.3658","title":"Oncology Dose Optimization: Tailored Approaches to Different Molecular Classes","year":2025,"lang":"en","type":"review","venue":"Clinical Pharmacology & Therapeutics","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Roche (Canada)","funders":"Genentech; F. Hoffmann-La Roche","keywords":"Medicine; Clinical trial; Drug; Drug development; Clinical pharmacology; Immunotherapy; Pharmacology; Oncology; Cancer; Medical physics; Computational biology; Bioinformatics; Internal medicine; 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":[0.002369056,0.0008952761,0.001300016,0.001563452,0.0001887168,0.001432179,0.001485144,0.0009776154,0.003239629],"category_scores_gemma":[0.002942877,0.0003633699,0.001079853,0.0009928094,0.0007609258,0.001464779,0.001010856,0.002647173,0.001024987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001179036,"about_ca_system_score_gemma":0.001470828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006715936,"about_ca_topic_score_gemma":0.000851076,"domain_scores_codex":[0.9992309,0.0002844478,0.00006980659,0.0001208268,0.0002483564,0.00004573188],"domain_scores_gemma":[0.998923,0.0007513415,0.0001307873,0.00004834448,0.0001196225,0.00002690704],"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":[0.0001327687,0.0001338183,0.0003807864,0.007401817,0.0001758331,0.0001185918,0.00007338502,0.02029728,0.004185889,0.04145774,0.006978299,0.9186639],"study_design_scores_gemma":[0.0001598119,0.0008823971,0.0021032,0.007834438,0.0004773135,0.002578973,0.0001517658,0.01826345,0.01034314,0.06715346,0.8899317,0.0001202361],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00293656,0.9137127,0.06595058,0.003434621,0.0003673332,0.0001818587,0.0001293375,0.00017457,0.01311243],"genre_scores_gemma":[0.05290915,0.8876687,0.0524005,0.002118182,0.0006279125,0.0003082344,0.0002339743,0.0001154441,0.003617914],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003239629,"threshold_uncertainty_score":0.01252896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4881619744201073,"score_gpt":0.5448352007766311,"score_spread":0.05667322635652378,"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."}}