{"id":"W4387811408","doi":"10.1016/j.annonc.2023.09.1902","title":"716TiP DETERMINE: A pioneering UK precision medicine trial for rare cancers","year":2023,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Novartis Pharmaceuticals UK Limited; EMD Serono; Servier; Cancer Research UK; Sierra Oncology; Incyte; Eisai; Merck KGaA; Alexion Pharmaceuticals; Celgene; CHILDREN with CANCER UK; Pfizer; AstraZeneca; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Medicine; Translational research; Clinical trial; Precision medicine; Context (archaeology); Personalized medicine; Oncology; Cancer; Bioinformatics; Internal medicine; Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002699127,0.0006215939,0.001302324,0.0003698767,0.0005594643,0.001534612,0.0003956774,0.002544518,0.01324922],"category_scores_gemma":[0.009216081,0.0002825971,0.001230257,0.0004410858,0.0009139407,0.00107733,0.001080173,0.005130934,0.002197537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001730031,"about_ca_system_score_gemma":0.001911437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002150015,"about_ca_topic_score_gemma":0.004282566,"domain_scores_codex":[0.9976794,0.001362773,0.00008540368,0.0003251325,0.000294755,0.0002525423],"domain_scores_gemma":[0.9948138,0.003060924,0.0004367639,0.0003603839,0.0003583558,0.000969715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.1781532,0.001531611,0.007056218,0.001961759,0.002429767,0.000548716,0.00028603,0.001537975,0.01158871,0.009409438,0.1408452,0.6446514],"study_design_scores_gemma":[0.4485832,0.07437751,0.02862055,0.00251978,0.006334551,0.002282332,0.000255025,0.002950292,0.01259325,0.01463358,0.4065466,0.0003033937],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5549741,0.09969752,0.01443421,0.1914556,0.01615151,0.002793916,0.020698,0.002836822,0.0969583],"genre_scores_gemma":[0.8505774,0.01787663,0.01650828,0.06646761,0.004755608,0.002098259,0.00740307,0.0005359402,0.03377727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01324922,"threshold_uncertainty_score":0.04432303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08508786063605718,"score_gpt":0.3961114500803129,"score_spread":0.3110235894442557,"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."}}