{"id":"W4387159807","doi":"10.3791/65981","title":"Establishment of an <em>Ex Vivo</em> Lung Perfusion Rat Model for Translational Insights in Lung Transplantation","year":2023,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Transplantation: Methods and Outcomes","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto General Hospital; University Health Network","funders":"","keywords":"Lung; Lung transplantation; Transplantation; Context (archaeology); Medicine; Ex vivo; Rat model; In vivo; Intensive care medicine; Surgery; Biology; Internal 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001987452,0.00164587,0.0008126542,0.001939553,0.0007051384,0.0009651759,0.001142339,0.001296661,0.007626614],"category_scores_gemma":[0.0005905303,0.0005229742,0.001238575,0.0005440305,0.001289641,0.001673839,0.0007902861,0.00389654,0.002926718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004825734,"about_ca_system_score_gemma":0.0009970816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007192111,"about_ca_topic_score_gemma":0.001319528,"domain_scores_codex":[0.999116,0.0001390656,0.0001007038,0.0002257296,0.0002468566,0.000171525],"domain_scores_gemma":[0.9989987,0.0001118346,0.0002389843,0.0002189689,0.0001342995,0.0002971712],"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":[0.0008970174,0.001344977,0.0008318563,0.0003911103,0.00003831136,0.0005858813,0.0001678941,0.0006754262,0.971324,0.004553923,0.001333343,0.01785617],"study_design_scores_gemma":[0.0001761585,0.007322246,0.003947871,0.0002154049,0.0001853998,0.002274069,0.0002174041,0.004509878,0.9484913,0.001249462,0.03132568,0.00008507475],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5456178,0.007526838,0.4091657,0.002223294,0.002356814,0.002891165,0.004383929,0.004694206,0.02114038],"genre_scores_gemma":[0.6413118,0.009862076,0.2990384,0.00130734,0.0005749564,0.005479135,0.005145679,0.000951319,0.03632931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007626614,"threshold_uncertainty_score":0.02551359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04420543180531356,"score_gpt":0.4233120842866095,"score_spread":0.379106652481296,"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."}}