{"id":"W4379740076","doi":"10.1016/j.blre.2023.101102","title":"Artificial intelligence in sickle disease","year":2023,"lang":"en","type":"review","venue":"Blood Reviews","topic":"Hemoglobinopathies and Related Disorders","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal General Hospital","funders":"Qatar National Library; Hamad Medical Corporation","keywords":"Risk stratification; Intensive care medicine; Disease; Medicine; Clinical Practice; Intervention (counseling); Pathology; Physical therapy; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007328923,0.0006005968,0.0009454421,0.002839891,0.0003089837,0.001379575,0.0005522594,0.001244235,0.003854607],"category_scores_gemma":[0.001941762,0.0001927634,0.0006776888,0.002882,0.0007751756,0.001330553,0.0006604028,0.00174931,0.001249178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008500366,"about_ca_system_score_gemma":0.001881568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001896247,"about_ca_topic_score_gemma":0.002083723,"domain_scores_codex":[0.9995824,0.0001331816,0.00007325188,0.00004881387,0.0001351223,0.00002722851],"domain_scores_gemma":[0.9989758,0.0007205902,0.00009023408,0.0000238574,0.00015692,0.00003260538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005436166,0.00005149117,0.000396809,0.04364195,0.0002207111,0.0003446174,0.0002953441,0.0006041294,0.0006401213,0.01742202,0.0490639,0.8872645],"study_design_scores_gemma":[0.00001060228,0.00006866004,0.001439944,0.01876972,0.0001509663,0.001756421,0.0001618088,0.0001438437,0.0002419471,0.01293419,0.9642957,0.00002615831],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007732067,0.9979966,0.0001216843,0.0004740987,0.0002000403,0.000004295574,0.00001001397,0.000004746743,0.001111202],"genre_scores_gemma":[0.0009991492,0.997783,0.0002166779,0.0003420984,0.0002368328,0.000006341202,0.00001603896,0.000001654491,0.0003982481],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003854607,"threshold_uncertainty_score":0.01289493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.123197919531434,"score_gpt":0.3850474416115904,"score_spread":0.2618495220801564,"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."}}