{"id":"W2141471078","doi":"10.1002/mrm.21517","title":"Oxygen‐enhanced MR imaging of mice lungs","year":2008,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Centre for Phenogenomics; University of Toronto","funders":"","keywords":"Ventilation (architecture); Parenchyma; Oxygen; Breathing; Respiratory system; Magnetic resonance imaging; Medicine; Lung; Nuclear medicine; Pathology; Chemistry; Radiology; Anesthesia; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002376151,0.0001603827,0.0003991205,0.0001130573,0.00005788782,0.000003120359,0.000309411,0.0000244419,0.001053419],"category_scores_gemma":[0.00002707736,0.0001380411,0.00005324766,0.0004151187,0.000459004,0.00007699789,0.00007061167,0.0002481457,0.00003472846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004014944,"about_ca_system_score_gemma":0.0001436421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009635485,"about_ca_topic_score_gemma":0.000003868822,"domain_scores_codex":[0.998476,0.0000550226,0.0004256091,0.000292084,0.0003709666,0.0003803248],"domain_scores_gemma":[0.9992958,0.0001312013,0.0000903719,0.0003046361,0.00009080431,0.00008712878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001389751,0.0002411015,0.3332518,0.00005976775,0.0000148133,0.00004886604,0.005917049,0.00002378414,0.0660248,0.006185285,0.01172735,0.5763664],"study_design_scores_gemma":[0.01949533,0.0004929813,0.6810732,0.001841874,0.00007733351,0.00004011319,0.00962685,0.09358115,0.07483995,0.05223999,0.06493341,0.001757846],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490105,0.004541773,0.00356111,0.0006755174,0.0001037412,0.0002419692,0.000007739807,0.00001479215,0.04184289],"genre_scores_gemma":[0.9969509,0.0001718211,0.0002323465,0.00009317186,0.0002499624,0.00002971414,0.000009218629,0.00001878035,0.002244142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5746086,"threshold_uncertainty_score":0.9998598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497375653141069,"score_gpt":0.281412986996594,"score_spread":0.2664392304651833,"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."}}