{"id":"W7097195469","doi":"","title":"TRANSFORMING BONE MARROW TRANSPLANTATION DATA INTO A CASE-BASED REASONING SYSTEM FOR DECISION SUPPORT ABSTRACT","year":2008,"lang":"en","type":"article","venue":"","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Decision support system; Clinical decision support system; Leverage (statistics); Bone marrow transplant; Bone marrow transplantation; Bone marrow; Ontology; Electronic medical record; Case-based reasoning","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":[0.00450131,0.0006480613,0.0006040676,0.003176784,0.0007734995,0.004668549,0.002086531,0.001378756,0.00693555],"category_scores_gemma":[0.01464822,0.0005509783,0.001221186,0.002158565,0.0009107825,0.002379113,0.00220308,0.001184703,0.002042348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001449952,"about_ca_system_score_gemma":0.001577776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007603923,"about_ca_topic_score_gemma":0.006914792,"domain_scores_codex":[0.9978474,0.0007483269,0.0004393045,0.0002578106,0.0006063576,0.0001008643],"domain_scores_gemma":[0.9936582,0.004440095,0.0002779216,0.0007622158,0.0007063847,0.0001551615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001095095,0.001087397,0.01186399,0.001073612,0.0003265568,0.007233894,0.003560197,0.3002667,0.01735875,0.1053554,0.03644388,0.5143345],"study_design_scores_gemma":[0.0002963477,0.000114366,0.001399347,0.0003765565,0.0001993831,0.0009322935,0.0006868017,0.8526728,0.01830976,0.07226206,0.05266023,0.00009006396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04456881,0.00029194,0.9167014,0.002138568,0.0001406732,0.00108771,0.003875469,0.01948463,0.01171075],"genre_scores_gemma":[0.2226709,0.0003057028,0.7698783,0.000277603,0.00005017314,0.0003488467,0.004167274,0.0003145875,0.001986581],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007603923,"threshold_uncertainty_score":0.0238055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04206268596665734,"score_gpt":0.2798905912996404,"score_spread":0.2378279053329831,"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."}}