{"id":"W4414714653","doi":"10.1016/j.cjca.2025.08.192","title":"P351 IMMUNE ANALYSIS OF A TISSUE-ENGINEERED PULMONARY XENOGRAFT","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immunogenicity; Immune system; Lung; Tissue engineering; In vitro","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003113315,0.0003034003,0.0002284598,0.000577859,0.0003004095,0.0003571693,0.0002079943,0.0006141426,0.002887688],"category_scores_gemma":[0.0001795944,0.0001259473,0.000311012,0.0001819952,0.0003270816,0.0003828096,0.0002134349,0.0008480315,0.0007148532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002535407,"about_ca_system_score_gemma":0.0001676734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001024299,"about_ca_topic_score_gemma":0.001002767,"domain_scores_codex":[0.9996421,0.00003355305,0.00002937642,0.00009981625,0.00009738719,0.00009773125],"domain_scores_gemma":[0.9997246,0.00008008182,0.00005197926,0.0000228559,0.00005189317,0.00006865378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001549342,0.00007036459,0.0002004877,0.0000188581,0.000004376741,0.000245935,0.00003111474,0.00004736632,0.9983103,0.0002280939,0.00004606721,0.0006420332],"study_design_scores_gemma":[0.0000362899,0.0007163165,0.00802195,0.00001194358,0.00003750562,0.001929621,0.000215717,0.002844924,0.9837506,0.0001772202,0.002250859,0.000007043536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979674,0.0008285986,0.01206358,0.0002514313,0.0001279211,0.0000972062,0.0006596507,0.0001561384,0.006141392],"genre_scores_gemma":[0.9878049,0.0003713289,0.00465257,0.0001362849,0.00002709193,0.00007212117,0.0007507401,0.00006554744,0.006119371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002887688,"threshold_uncertainty_score":0.009660304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008415206843545556,"score_gpt":0.2519067153818236,"score_spread":0.2434915085382781,"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."}}