{"id":"W7084234287","doi":"","title":"A Patient Charter to Improve Care for Hepatocellular Carcinoma","year":2025,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Charter; Multidisciplinary approach; Health care; Hepatocellular carcinoma; Public health; Global health; Patient advocacy; Hepatitis C","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002418923,0.0001989365,0.0003668632,0.0004562272,0.000292781,0.001188764,0.002687649,0.00004515614,0.0001298964],"category_scores_gemma":[0.00004255095,0.0001939302,0.0001824212,0.001067926,0.00002644151,0.0008625312,0.00130073,0.0001093289,0.0000136477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009449699,"about_ca_system_score_gemma":0.0002439804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002360354,"about_ca_topic_score_gemma":0.00001006947,"domain_scores_codex":[0.9983032,0.00005586979,0.0005126943,0.0005076751,0.0003551552,0.0002654218],"domain_scores_gemma":[0.9979601,0.0002269914,0.0002899544,0.0006603082,0.0006800924,0.000182584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001467834,0.000657413,0.1245122,0.0004119284,0.0002457557,0.00001597837,0.003576352,0.001575324,0.1453133,0.09067518,0.1084826,0.5243872],"study_design_scores_gemma":[0.001305208,0.00008697739,0.3755382,0.0003640871,0.0000977186,0.000004521892,0.0002103732,0.04743849,0.1263665,0.2362275,0.211208,0.001152552],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4270697,0.003846995,0.5613347,0.001493895,0.000904141,0.00206125,0.0001193255,0.00005617009,0.003113774],"genre_scores_gemma":[0.9926874,0.0000488506,0.005439127,0.001152331,0.00008776659,0.0004035239,0.00001538362,0.00001636929,0.0001492188],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5656177,"threshold_uncertainty_score":0.9998481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1080181963237098,"score_gpt":0.481411125497434,"score_spread":0.3733929291737242,"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."}}