{"id":"W4388136753","doi":"10.1111/tid.14187","title":"Tools to improve donor utilization by infectious diseases clinicians","year":2023,"lang":"en","type":"editorial","venue":"Transplant Infectious Disease","topic":"Organ Transplantation Techniques and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Data sharing; Intensive care medicine; Work (physics); MEDLINE; Data science; Alternative medicine; Pathology; Computer 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":[0.0637257,0.001717844,0.001218684,0.01221547,0.003602841,0.01156258,0.00452208,0.002518876,0.0428076],"category_scores_gemma":[0.2376813,0.001274462,0.001939911,0.005979097,0.001360306,0.01062653,0.01883608,0.005778271,0.01431347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007062348,"about_ca_system_score_gemma":0.0332194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006259402,"about_ca_topic_score_gemma":0.007056511,"domain_scores_codex":[0.9367034,0.03820366,0.007274345,0.003346563,0.01083067,0.003641362],"domain_scores_gemma":[0.7688421,0.1091558,0.02401843,0.01308242,0.05217535,0.03272589],"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":[0.0001856794,0.001701789,0.0444199,0.002159393,0.00009448143,0.0002828547,0.00704251,0.0006622118,0.0002044048,0.004425651,0.2607061,0.678115],"study_design_scores_gemma":[0.001113656,0.001643724,0.08051187,0.02148721,0.0004326574,0.001335663,0.0311351,0.006390598,0.002529227,0.02940721,0.8233598,0.000653187],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.1217779,0.02170406,0.1360712,0.3740774,0.01326972,0.01902433,0.01233181,0.02379467,0.2779489],"genre_scores_gemma":[0.3716387,0.02242142,0.4762292,0.06374931,0.0042011,0.02326269,0.009244342,0.002452431,0.02680091],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.0637257,"threshold_uncertainty_score":0.3370177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01745973912858705,"score_gpt":0.3145230361115863,"score_spread":0.2970632969829993,"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."}}