{"id":"W2143054511","doi":"10.1093/ejcts/ezs058","title":"Improving donor heart preservation","year":2012,"lang":"en","type":"letter","venue":"European Journal of Cardio-Thoracic Surgery","topic":"Cardiac Ischemia and Reperfusion","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital","funders":"","keywords":"Cardiology; Computer science; Medicine","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.008757153,0.0004707839,0.00173224,0.0006659034,0.000112089,0.00008673871,0.0001902802,0.0003640698,0.0001380654],"category_scores_gemma":[0.0009323317,0.0003676339,0.002650662,0.0002861681,0.00008717626,0.0004208851,0.0001357106,0.003207956,0.0001587011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000227169,"about_ca_system_score_gemma":0.0004681385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007202654,"about_ca_topic_score_gemma":4.122912e-8,"domain_scores_codex":[0.9941511,0.002105469,0.001409241,0.0003339477,0.001326882,0.0006733641],"domain_scores_gemma":[0.9962935,0.0005961549,0.001262387,0.0007336271,0.000774447,0.0003398117],"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":[0.0002302197,0.00002693537,0.006825379,0.0006476569,0.0004166632,0.006179143,0.00007208844,0.000003431863,0.006841911,7.262604e-8,0.9340303,0.04472622],"study_design_scores_gemma":[0.0002385545,0.00008500289,0.004291399,0.001197297,0.001139627,0.009807348,0.00002177834,0.000002652357,0.004326131,8.157725e-7,0.9785232,0.0003661843],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.4465937,0.03632228,0.001965923,0.4464141,0.02494577,0.001029274,0.00005473773,0.0002612984,0.04241287],"genre_scores_gemma":[0.3069297,0.00249598,0.003491128,0.4160504,0.2515736,0.00001124748,0.0006380452,0.001183625,0.0176262],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2266278,"threshold_uncertainty_score":0.9998776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03231468906422149,"score_gpt":0.2701828202481431,"score_spread":0.2378681311839216,"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."}}