{"id":"W4412163820","doi":"10.1158/1557-3265.aimachine-b060","title":"Abstract B060: DIGIONE: From Fragmentation to Federation: Enabling Scalable Oncology RWE (Real World Evidence) through an international hospital based Cancer OMOP (Observational Medical Outcomes Partnership) Network","year":2025,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Observational study; Medicine; General partnership; Cancer; Medical physics; Oncology; Internal medicine; Intensive care medicine; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.03309225,0.0008699562,0.0007727345,0.003588184,0.001184849,0.00801776,0.002977964,0.001873386,0.02381721],"category_scores_gemma":[0.06591894,0.0007385507,0.001317002,0.003684013,0.001460923,0.01000481,0.01668612,0.002791677,0.0116776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003312506,"about_ca_system_score_gemma":0.0102088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01100879,"about_ca_topic_score_gemma":0.008269561,"domain_scores_codex":[0.9881129,0.005910577,0.0008792753,0.002271691,0.00209584,0.0007296048],"domain_scores_gemma":[0.9472154,0.01757853,0.002911795,0.01881461,0.006327896,0.00715179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008294901,0.0002146502,0.0168687,0.0008560932,0.0002635222,0.0003168149,0.001635076,0.01224081,0.002000397,0.09815811,0.622407,0.2442093],"study_design_scores_gemma":[0.0003227692,0.0002966695,0.01062786,0.001216761,0.0001059406,0.0002549774,0.0009187405,0.0264206,0.002323115,0.1084816,0.8489207,0.0001102424],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03747466,0.004805056,0.413167,0.0948565,0.003176537,0.003913454,0.1546101,0.07808435,0.2099124],"genre_scores_gemma":[0.2012758,0.003135667,0.4984541,0.01555557,0.001395234,0.004090145,0.225553,0.009417593,0.04112292],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9919822,"threshold_uncertainty_score":0.1750106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4370438880411018,"score_gpt":0.5485966909366976,"score_spread":0.1115528028955958,"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."}}