{"id":"W4412544930","doi":"10.1097/tp.0000000000005492","title":"Transplantation Abroad: Closing Gaps in Data and Practice","year":2025,"lang":"en","type":"article","venue":"Transplantation","topic":"Organ Donation and Transplantation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Closing (real estate); Transplantation; Medicine; Political science; Surgery; Law","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":[0.1314135,0.001274377,0.003168007,0.01829628,0.003102083,0.01536726,0.008181921,0.009433754,0.01824988],"category_scores_gemma":[0.4073409,0.001728002,0.00203159,0.01446321,0.007577991,0.03748846,0.01876727,0.01366788,0.005985332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009669198,"about_ca_system_score_gemma":0.04014755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01259488,"about_ca_topic_score_gemma":0.01809956,"domain_scores_codex":[0.9223167,0.04429567,0.01499881,0.005903783,0.00969714,0.002787954],"domain_scores_gemma":[0.4872895,0.3260337,0.03331834,0.03506786,0.08490731,0.03338335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002462582,0.0003368931,0.0280806,0.01834158,0.0003513285,0.0008519311,0.007853962,0.0006999739,0.0001505642,0.02696979,0.4131792,0.502938],"study_design_scores_gemma":[0.0001792706,0.000251233,0.01753221,0.1608054,0.0003052985,0.001737356,0.0205895,0.001586547,0.0002315865,0.07478085,0.7216885,0.0003121685],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006545578,0.2151974,0.01284792,0.7348042,0.01392861,0.000591527,0.004257411,0.0005113301,0.01131609],"genre_scores_gemma":[0.1394476,0.3827995,0.08230472,0.3365974,0.04052772,0.002784891,0.0124101,0.001095423,0.002032778],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1314135,"threshold_uncertainty_score":0.6949892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02486708901009884,"score_gpt":0.3641178750060223,"score_spread":0.3392507859959235,"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."}}