{"id":"W3043393415","doi":"10.1097/tp.0000000000003354","title":"Predicting Liver Transplant Patient Outcomes. Is a Validated Model Enough?","year":2020,"lang":"en","type":"letter","venue":"Transplantation","topic":"Liver Disease and Transplantation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital","funders":"","keywords":"Liver transplantation; Medicine; Intensive care medicine; Internal medicine; Transplantation","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":[0.02333969,0.001512585,0.002031208,0.001388046,0.0003990879,0.004637136,0.001979605,0.002146957,0.004205486],"category_scores_gemma":[0.08583944,0.0004710675,0.001422358,0.001235514,0.0007689741,0.003401883,0.00115923,0.004148897,0.00166229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001263346,"about_ca_system_score_gemma":0.001832734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005347723,"about_ca_topic_score_gemma":0.004355997,"domain_scores_codex":[0.9936166,0.003749878,0.0005461691,0.0008357041,0.001022156,0.0002294158],"domain_scores_gemma":[0.9580355,0.03010841,0.003017922,0.002711445,0.004503757,0.001623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009978495,0.0006780121,0.6575284,0.0007832084,0.00187833,0.0003079319,0.0001825992,0.04561566,0.0002298355,0.003216285,0.04950598,0.2390758],"study_design_scores_gemma":[0.0005186765,0.001710778,0.1347963,0.003738594,0.001277156,0.0007600577,0.0004819939,0.7849545,0.000813056,0.04019472,0.03049367,0.0002604676],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.4605492,0.07608794,0.1749894,0.2322946,0.0111638,0.001350073,0.0210969,0.002096275,0.02037178],"genre_scores_gemma":[0.9245185,0.01139275,0.03336233,0.01238355,0.004400626,0.0003254192,0.0118636,0.0003382515,0.001414955],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.02333969,"threshold_uncertainty_score":0.1234335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02928575984116999,"score_gpt":0.2478066612180633,"score_spread":0.2185209013768933,"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."}}