{"id":"W4411370074","doi":"10.1016/j.dld.2025.05.026","title":"The current success of precision oncology relies on precision diagnostics: how quality and quantity of endoscopic biopsies impact cancer patient outcome","year":2025,"lang":"en","type":"article","venue":"Digestive and Liver Disease","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Hospital Foundation","funders":"","keywords":"Medicine; Precision oncology; Medical physics; Internal medicine; Outcome (game theory); Precision medicine; Oncology; Current (fluid); Quality (philosophy); Cancer; Radiology; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001805536,0.0001187809,0.0002932243,0.00009308356,0.0001114432,0.00001689277,0.00004332785,0.00003887079,0.000005867736],"category_scores_gemma":[0.001337674,0.00007170728,0.00007489986,0.0001350829,0.0002267275,0.00005739406,0.00008047696,0.0001316912,2.634854e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008857579,"about_ca_system_score_gemma":0.0001652121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009484215,"about_ca_topic_score_gemma":0.0002715281,"domain_scores_codex":[0.9990938,0.0001396583,0.0002423237,0.0002150905,0.0001962771,0.0001128323],"domain_scores_gemma":[0.9979842,0.001362777,0.0001737636,0.0001661502,0.0002014278,0.0001117164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006694101,0.0001657905,0.7236682,0.0002043224,0.00004357176,0.000002433116,0.0002450767,0.000009065757,0.00005165322,0.0000989632,0.0001524145,0.2686644],"study_design_scores_gemma":[0.000724536,0.002176622,0.993785,0.000642843,0.0001662649,2.773099e-7,0.00009023675,0.0001365275,0.001154462,0.0001119884,0.0009530218,0.00005827605],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708453,0.02769718,0.00005741091,0.0004561743,0.0002539046,0.0004222491,0.0001740334,0.0000115038,0.0000821822],"genre_scores_gemma":[0.9888275,0.01101655,0.00001187423,0.00003222591,0.00002325376,0.00004293667,0.000008097186,0.000004091385,0.00003341374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2701168,"threshold_uncertainty_score":0.2924138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04541784568916341,"score_gpt":0.400195217599387,"score_spread":0.3547773719102236,"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."}}