{"id":"W2037605578","doi":"10.1002/mrm.20683","title":"In vivo multiple‐mouse MRI at 7 Tesla","year":2005,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Scanner; Radiofrequency coil; Magnetic resonance imaging; Imaging phantom; Image quality; Electromagnetic coil; Nuclear magnetic resonance; Contrast (vision); Isotropy; Radio frequency; Distortion (music); Physics; Nuclear medicine; Biomedical engineering; Optics; Computer science; Medicine; Image (mathematics); Radiology; Artificial intelligence","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":[0.002484684,0.001443506,0.0006754018,0.001261556,0.000720505,0.0007320783,0.001439565,0.001266591,0.009251451],"category_scores_gemma":[0.0007014922,0.001107005,0.0005512068,0.0004698757,0.0005139445,0.001230494,0.0007676515,0.002032845,0.003071501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003812926,"about_ca_system_score_gemma":0.0003597215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005170058,"about_ca_topic_score_gemma":0.001291017,"domain_scores_codex":[0.9993225,0.0001736526,0.00004552203,0.0002496181,0.0001188308,0.00008975997],"domain_scores_gemma":[0.9992255,0.0001598366,0.000104544,0.0001776467,0.0001671191,0.0001652869],"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":[0.0002522369,0.00008488055,0.0001493884,0.0001017281,0.00002391302,0.00008707934,0.00006716717,0.0002975821,0.9915701,0.0009067802,0.0007813704,0.005677826],"study_design_scores_gemma":[0.0002242748,0.00139875,0.002573209,0.00005651223,0.0001510063,0.002276618,0.00003653763,0.006887078,0.944504,0.00112596,0.04070623,0.00005979302],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1264606,0.003383787,0.8546084,0.0007438357,0.0002535905,0.0006278382,0.001336083,0.006316763,0.006268987],"genre_scores_gemma":[0.2087707,0.003186189,0.7641636,0.0005115771,0.0001546591,0.002172342,0.002124557,0.001598064,0.01731833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009251451,"threshold_uncertainty_score":0.03094918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603442067637827,"score_gpt":0.3142812361172488,"score_spread":0.2982468154408705,"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."}}