{"id":"W4379282977","doi":"10.1200/jco.2023.41.16_suppl.tps5103","title":"SWOG S1823/CCTG GCC1: Translational observational investigational study of the liquid biomarker microRNA 371a-3p in newly diagnosed germ cell tumours—Real-world trial design, rapid accrual, and robust secondary use of data opportunities.","year":2023,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University Health Network","funders":"","keywords":"Medicine; Observational study; Interim analysis; Biomarker; Oncology; Interim; Internal medicine; Clinical trial; Seminoma; Chemotherapy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006980792,0.0009377241,0.001219906,0.0003423605,0.0007012138,0.0009885653,0.0009340099,0.001154735,0.01102669],"category_scores_gemma":[0.005994133,0.0004315492,0.001013525,0.001390279,0.0007618894,0.0006005338,0.0006946843,0.00151645,0.002513141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001932658,"about_ca_system_score_gemma":0.007196837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004856389,"about_ca_topic_score_gemma":0.01185048,"domain_scores_codex":[0.9965103,0.002564916,0.0001570924,0.0003101431,0.000254635,0.0002028833],"domain_scores_gemma":[0.9947919,0.0008559793,0.001589925,0.0005366579,0.0005479402,0.001677457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.7233459,0.006994046,0.05567471,0.003654997,0.0026465,0.001029379,0.0004617092,0.001999973,0.008396598,0.002766683,0.1129671,0.0800624],"study_design_scores_gemma":[0.5671015,0.1901796,0.1473456,0.001771326,0.003185736,0.002037253,0.0003641772,0.005316393,0.004273667,0.002841163,0.07541534,0.0001681964],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8533525,0.007531391,0.004534611,0.007725087,0.001207076,0.04088698,0.06597456,0.0005204505,0.01826727],"genre_scores_gemma":[0.8917537,0.002378675,0.01213749,0.005240087,0.0009052323,0.03959554,0.04201352,0.0003158608,0.005659896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01102669,"threshold_uncertainty_score":0.0369184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5887588118999613,"score_gpt":0.4808283431581984,"score_spread":0.1079304687417628,"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."}}