{"id":"W4416839476","doi":"10.1097/01.tp.0001175476.94771.ad","title":"P.25: Adaptive platform trial for deceased organ donation optimisation: OPTIDON APT.","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":"Organ donation; MEDLINE; Donation; Organ transplantation","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":[0.01022184,0.001034895,0.001415669,0.000301838,0.0003333967,0.001804423,0.0008919426,0.002363401,0.02496913],"category_scores_gemma":[0.02139016,0.0002888495,0.003755335,0.0003327841,0.001027603,0.001381691,0.001228001,0.004269972,0.002294016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008257075,"about_ca_system_score_gemma":0.002520356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008035739,"about_ca_topic_score_gemma":0.0009294882,"domain_scores_codex":[0.9951191,0.003793626,0.000226414,0.0003817046,0.0002878374,0.0001913486],"domain_scores_gemma":[0.992641,0.004492478,0.001057158,0.0006119966,0.0004091063,0.0007882497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.5749077,0.002300831,0.004066786,0.01278908,0.007206502,0.0004950167,0.000320832,0.01430124,0.003070422,0.01943583,0.1111157,0.2499901],"study_design_scores_gemma":[0.7451703,0.05735284,0.01077912,0.005861949,0.005770064,0.0004063552,0.00009765268,0.01789515,0.004163888,0.04915695,0.103153,0.0001928685],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.2757146,0.07111666,0.1411542,0.1243226,0.03841916,0.1550148,0.04225186,0.005776926,0.1462292],"genre_scores_gemma":[0.6601624,0.007440438,0.09259171,0.03643689,0.005336578,0.1491658,0.009763031,0.0005834168,0.03851966],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.02496913,"threshold_uncertainty_score":0.08353007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0305875188278267,"score_gpt":0.3049909445109898,"score_spread":0.2744034256831631,"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."}}