{"id":"W2949714047","doi":"10.1111/ajt.15508","title":"Improving OPO performance through national data availability","year":2019,"lang":"en","type":"letter","venue":"American Journal of Transplantation","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Organ procurement; Organ donation; Medicine; Scopus; Transplantation; MEDLINE; Surgery; Law; 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":[0.1758633,0.0009355316,0.001808174,0.008107546,0.003553417,0.02078968,0.004986645,0.004149377,0.03012297],"category_scores_gemma":[0.394642,0.0009462932,0.002022928,0.007874073,0.003889014,0.02045638,0.01523358,0.01048452,0.01040696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006483236,"about_ca_system_score_gemma":0.03978121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008428912,"about_ca_topic_score_gemma":0.006269626,"domain_scores_codex":[0.8423616,0.06578989,0.02840725,0.008503756,0.04905944,0.005878009],"domain_scores_gemma":[0.4801698,0.2224015,0.03735218,0.0543499,0.1756632,0.03006339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001910785,0.00006541962,0.006443027,0.0009887828,0.0001184353,0.0001110725,0.0008556389,0.0004322132,0.0001496307,0.01592617,0.7700462,0.2046722],"study_design_scores_gemma":[0.00006508912,0.00004894767,0.003238083,0.001860989,0.00004225013,0.0000782592,0.0008744823,0.0005814456,0.0002241504,0.01165775,0.9812647,0.00006380054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.004720076,0.01647721,0.02784788,0.7463699,0.103151,0.0008737783,0.01117349,0.002959085,0.08642759],"genre_scores_gemma":[0.1548017,0.06180452,0.1034321,0.388456,0.1999394,0.004050325,0.0384061,0.007583645,0.04152617],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.1758633,"threshold_uncertainty_score":0.9300653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03587104225386192,"score_gpt":0.2967833598931961,"score_spread":0.2609123176393342,"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."}}