{"id":"W2526160173","doi":"10.1097/rmr.0000000000000101","title":"Cellular Imaging With MRI","year":2016,"lang":"en","type":"review","venue":"Topics in Magnetic Resonance Imaging","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"","keywords":"Magnetic resonance imaging; Biomarker; Computer science; Magnetic resonance spectroscopic imaging; Neuroscience; Medicine; Biology; Radiology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003309887,0.0004666506,0.001280586,0.0002898496,0.00007680661,0.000053756,0.0004012624,0.0001073022,0.0003905692],"category_scores_gemma":[0.0001058413,0.0003076369,0.0002045803,0.0004550937,0.0003177101,0.00007314638,0.0001486083,0.0007316897,0.00009339529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002055759,"about_ca_system_score_gemma":0.0003320427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003131555,"about_ca_topic_score_gemma":0.000002945437,"domain_scores_codex":[0.9974588,0.00007383792,0.0007273182,0.0007448806,0.0004093795,0.0005858092],"domain_scores_gemma":[0.9983203,0.0001574898,0.0002007773,0.001057794,0.00007702542,0.0001866579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003505035,0.00004349106,0.0005688887,0.002736825,0.000003442826,0.0003743065,0.00001330172,8.589485e-9,0.000004141783,0.001009025,0.003327904,0.9919152],"study_design_scores_gemma":[0.0004280166,0.00002610737,0.00006453793,0.04263985,0.0001752619,0.0003070106,0.000005833267,0.0001461383,0.000006111227,0.0003704326,0.9554761,0.0003545842],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002220102,0.9805465,0.002712539,0.004078389,0.00008429144,0.001197156,0.00001169404,0.0001838724,0.01118328],"genre_scores_gemma":[0.00001308252,0.9699836,0.02406436,0.0003770462,0.0004602664,0.0004319312,0.00002969948,0.00009812308,0.004541923],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9915606,"threshold_uncertainty_score":0.9999376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02344317576922637,"score_gpt":0.3333900590479899,"score_spread":0.3099468832787635,"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."}}