{"id":"W4412163791","doi":"10.1158/1557-3265.aimachine-b005","title":"Abstract B005: Designing ethically aligned AI to support palliative care in hematologic malignancies: Ethical considerations for equity and patient-centered care","year":2025,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Palliative care; Medicine; Hematologic Neoplasms; Intensive care medicine; Ethical issues; Equity (law); Nursing; Family medicine; Cancer; Engineering ethics; Internal medicine; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.04043396,0.0005614412,0.0004001631,0.001071921,0.005476988,0.0122367,0.002478139,0.004701678,0.011766],"category_scores_gemma":[0.06447712,0.0005906271,0.00105841,0.0008151431,0.01123898,0.006081544,0.01059733,0.006342301,0.002373693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00608713,"about_ca_system_score_gemma":0.02516751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004000759,"about_ca_topic_score_gemma":0.004956741,"domain_scores_codex":[0.9639412,0.02916903,0.0009451588,0.001330452,0.003117668,0.001496524],"domain_scores_gemma":[0.9357826,0.04598537,0.002942346,0.003812876,0.006909898,0.004566955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001466504,0.0005244904,0.005848012,0.0008246332,0.00005941983,0.0006172039,0.0162023,0.02184576,0.0024538,0.8102358,0.0413359,0.09990606],"study_design_scores_gemma":[0.0001311488,0.0002707049,0.00157642,0.001541427,0.00006234087,0.0005053306,0.01761255,0.05700283,0.003780046,0.6780463,0.2393748,0.00009615029],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04573263,0.00141366,0.5918974,0.1795625,0.001174832,0.003794122,0.0004819593,0.0009181549,0.1750247],"genre_scores_gemma":[0.4491307,0.001287796,0.5170636,0.01153146,0.0002972692,0.002426631,0.0004512401,0.000269365,0.0175419],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04043396,"threshold_uncertainty_score":0.2138377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7046387215741549,"score_gpt":0.6796605728077869,"score_spread":0.02497814876636795,"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."}}