{"id":"W2397087568","doi":"10.1186/s13550-016-0198-3","title":"Evaluation of pulmonary perfusion by SPECT imaging using an endothelial cell tracer in supine humans and dogs","year":2016,"lang":"en","type":"article","venue":"EJNMMI Research","topic":"Neonatal Respiratory Health Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Institut National de la Recherche Scientifique; Armand Frappier Museum; Université de Montréal; Montreal Heart Institute","funders":"Québec Consortium for Drug Discovery","keywords":"Supine position; Medicine; Perfusion; Lung; Nuclear medicine; Perfusion scanning; Pathology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01291607,0.0001297611,0.0002569335,0.0007134154,0.0001450428,0.00002075531,0.0001595371,0.00007486459,0.0009519022],"category_scores_gemma":[0.001038053,0.00009487251,0.00003339055,0.000462835,0.0003515509,0.0002828212,0.0001504683,0.0005107743,0.00002678346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000637401,"about_ca_system_score_gemma":0.0009621905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001093138,"about_ca_topic_score_gemma":0.0001240161,"domain_scores_codex":[0.9939628,0.001381426,0.0003438972,0.0004948767,0.003132003,0.0006850535],"domain_scores_gemma":[0.9980161,0.0004065395,0.00005117847,0.0004320602,0.0007610751,0.0003330557],"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":[0.0004260754,0.0002930457,0.02351141,0.0002004897,0.000002682209,0.00006933387,0.0001718967,0.000001562987,0.7687113,0.00001029928,0.00009563984,0.2065063],"study_design_scores_gemma":[0.01816355,0.00227899,0.145667,0.001696118,0.00007795472,0.0001625344,0.001515568,0.05896126,0.7560108,0.001100699,0.01379637,0.00056907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990499,0.004585455,0.00002601656,0.001032659,0.00003565164,0.001118085,0.00003123153,0.0000130379,0.002658891],"genre_scores_gemma":[0.998574,0.0005192411,0.00008183655,0.00003045564,0.0001580485,0.00003308959,0.000006532489,0.00003881017,0.0005579779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2059372,"threshold_uncertainty_score":0.9999614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2049976463018568,"score_gpt":0.4912525021738401,"score_spread":0.2862548558719833,"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."}}