{"id":"W2014774312","doi":"10.1002/mrm.21724","title":"Functional colonography of <i>Min</i> mice using dark lumen dynamic contrast‐enhanced MRI","year":2008,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"National Center for Research Resources; Vanderbilt-Ingram Cancer Center; National Institutes of Health; National Cancer Institute; U.S. Public Health Service; Vanderbilt University","keywords":"Lumen (anatomy); Medicine; Extravasation; Nuclear medicine; Magnetic resonance imaging; In vivo; Chemistry; Pathology; Radiology; Internal medicine; Biology","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":[0.000431418,0.0007667497,0.0003980512,0.0007274609,0.0002171515,0.0004079972,0.0002656225,0.0007369132,0.001967748],"category_scores_gemma":[0.0002235408,0.0004194397,0.0004075327,0.0001943013,0.0005700432,0.0004866871,0.0002691587,0.001121301,0.0005782474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002482116,"about_ca_system_score_gemma":0.0001768382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007032422,"about_ca_topic_score_gemma":0.00118727,"domain_scores_codex":[0.999816,0.0000319277,0.00001419962,0.00006756974,0.00003206288,0.00003834066],"domain_scores_gemma":[0.9995276,0.00006215813,0.0001754073,0.00004638089,0.00005437311,0.0001342294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001740179,0.0000182556,0.0001590895,0.00002065937,0.000004034008,0.00003248487,0.0000110998,0.00004071803,0.9989836,0.00005483037,0.00004663967,0.0004546187],"study_design_scores_gemma":[0.00003629053,0.0009445045,0.007818845,0.00001459604,0.00003375327,0.0007879207,0.00005018658,0.001574652,0.9865194,0.00007968942,0.002119777,0.00002044687],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646178,0.001154198,0.0281412,0.0002665018,0.00007027326,0.0001221362,0.002103317,0.0007987026,0.002725828],"genre_scores_gemma":[0.9471177,0.00173495,0.03995418,0.0003807671,0.00003996024,0.0003570732,0.002364801,0.0004532303,0.007597301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001967748,"threshold_uncertainty_score":0.006582797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02200889126242592,"score_gpt":0.2804492527369665,"score_spread":0.2584403614745405,"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."}}