{"id":"W3049248110","doi":"10.1002/mrm.28473","title":"Evaluation of fluorine‐19 magnetic resonance imaging of the lungs using octafluorocyclobutane in a rat model","year":2020,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University; Lakehead University; Thunder Bay Regional Research Institute","funders":"Canadian Institutes of Health Research","keywords":"Magnetic resonance imaging; Nuclear medicine; Spin echo; Nuclear magnetic resonance; Scanner; Spin–lattice relaxation; Image quality; Relaxometry; Voxel; Chemistry; Physics; Medicine; Radiology; Computer science; Optics","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":[],"consensus_categories":[],"category_scores_codex":[0.001226001,0.0002041774,0.0005111803,0.0001038225,0.00003914985,0.00000624101,0.0004829465,0.00003769834,0.0003520751],"category_scores_gemma":[0.0002140287,0.0001581212,0.00007205769,0.0009269004,0.0003757401,0.00009554123,0.0001695253,0.0003531413,0.000002053244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001493689,"about_ca_system_score_gemma":0.000598378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001004272,"about_ca_topic_score_gemma":0.00001780618,"domain_scores_codex":[0.9970515,0.0002858885,0.0007364625,0.0003832791,0.001171852,0.0003710669],"domain_scores_gemma":[0.998938,0.0001268981,0.0001799884,0.0004073984,0.000255667,0.00009207388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00018735,0.0001555096,0.269763,0.0001056354,0.000004830067,0.00000667297,0.005660036,0.01158809,0.05662751,0.002854454,0.0006367951,0.6524101],"study_design_scores_gemma":[0.002765891,0.00004852895,0.01060079,0.0003913949,0.0000445096,0.000001168369,0.0009064396,0.9728071,0.002661276,0.009290125,0.0003450488,0.0001377328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715313,0.02215416,0.001037944,0.001475366,0.00007595122,0.0007517683,0.0000176472,0.000006722594,0.002949096],"genre_scores_gemma":[0.9991255,0.00007764236,0.0003799582,0.0001241894,0.0001251696,0.00003972242,0.000003815397,0.00002243054,0.0001015771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.961219,"threshold_uncertainty_score":0.6447996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04629499420519124,"score_gpt":0.3255150174616481,"score_spread":0.2792200232564568,"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."}}