{"id":"W4234450009","doi":"10.1111/j.0886-0440.2004.04033.x","title":"Heart Transplantation","year":2004,"lang":"en","type":"article","venue":"Journal of Cardiac Surgery","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Citation; Transplantation; Heart transplantation; Library science; Surgery; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008840561,0.00007721602,0.0004857865,0.0001873465,0.00002779875,0.00001099827,0.00002114529,0.00005174315,0.00002639312],"category_scores_gemma":[0.0000660794,0.00005879347,0.0006291316,0.0001308268,0.00002105928,0.0001394649,0.000001011452,0.0001502993,0.000009114447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003954078,"about_ca_system_score_gemma":0.0002380913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006864818,"about_ca_topic_score_gemma":4.171956e-7,"domain_scores_codex":[0.9990231,0.00007425228,0.0004044448,0.00006048656,0.0003183956,0.0001193405],"domain_scores_gemma":[0.9991555,0.0003878747,0.0001284299,0.00007530098,0.000132328,0.0001205728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002221955,0.0002463856,0.8995796,0.0007176173,0.000845669,0.001465686,0.001750099,0.0003164845,0.0461967,0.0005014328,0.007118675,0.03903965],"study_design_scores_gemma":[0.0006725224,0.00009549101,0.948203,0.0003479864,0.0004797766,0.003044652,0.00008994024,3.529351e-7,0.03542598,0.0003382475,0.01120189,0.0001002078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889175,0.001457674,0.004439476,0.002692024,0.001595621,0.00007073026,0.000009788085,0.00001568111,0.00080151],"genre_scores_gemma":[0.983553,0.002023058,0.01305224,0.0006372185,0.0006632534,0.000001073404,0.000008298569,0.00001431823,0.00004756173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04862331,"threshold_uncertainty_score":0.2397528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02767526723283462,"score_gpt":0.3152882687985123,"score_spread":0.2876130015656777,"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."}}