{"id":"W1988165181","doi":"10.1186/1471-2342-13-20","title":"Comparison of T2 and T2*-weighted MR molecular imaging of a mouse model of glioma","year":2013,"lang":"en","type":"article","venue":"BMC Medical Imaging","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thunder Bay Regional Research Institute; National Research Council Canada; University of Ottawa; Alberta Innovates; University of Calgary","funders":"FP7 People: Marie-Curie Actions; Canadian Institutes of Health Research; Ludwig Institute for Cancer Research","keywords":"T2 weighted; Glioma; Computer science; Magnetic resonance imaging; Nuclear magnetic resonance; Nuclear medicine; Medicine; Radiology; Cancer research; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005042139,0.000749012,0.0003748205,0.001122193,0.0001715959,0.0002963414,0.0003103426,0.000722785,0.00139385],"category_scores_gemma":[0.0001934844,0.0002909845,0.0003751036,0.000269539,0.0003397324,0.0004985278,0.0001771013,0.001024564,0.0003618661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002796596,"about_ca_system_score_gemma":0.0001963256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007350308,"about_ca_topic_score_gemma":0.0007684338,"domain_scores_codex":[0.9998093,0.00002667041,0.00001776446,0.00005447077,0.00004811284,0.00004364578],"domain_scores_gemma":[0.9996037,0.00005363376,0.0001159534,0.00002863606,0.0001044066,0.00009368025],"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":[0.0006018866,0.0001505785,0.0002633261,0.00006841662,0.00001664164,0.00006851247,0.00003067892,0.0001251951,0.997254,0.00005208546,0.00008629499,0.001282467],"study_design_scores_gemma":[0.000040687,0.003192841,0.00465641,0.00001921649,0.0001038042,0.0005647632,0.00004361924,0.001858176,0.987582,0.0000906517,0.001828575,0.000019208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9809437,0.002359081,0.01189086,0.0003399917,0.0001146912,0.0001301141,0.001211122,0.0004397005,0.002570663],"genre_scores_gemma":[0.9627097,0.003377724,0.01975796,0.0002488947,0.00006295494,0.0004143642,0.00211577,0.0002361791,0.01107629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00139385,"threshold_uncertainty_score":0.004662931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02452195531979558,"score_gpt":0.3566673738957727,"score_spread":0.3321454185759771,"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."}}