{"id":"W2039428410","doi":"10.1002/mrm.20590","title":"Fast spin‐echo for multiple mouse magnetic resonance phenotyping","year":2005,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Canada Research Chairs","keywords":"Nuclear magnetic resonance; Magnetic resonance imaging; Pulse sequence; Fast spin echo; Spin echo; Sequence (biology); Isotropy; Physics; Optics; Biology; Medicine; Genetics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003904167,0.000343021,0.0006516528,0.0002226624,0.0001224263,0.00001097625,0.0002902957,0.0001708472,0.0004258432],"category_scores_gemma":[0.0005583333,0.0002994593,0.00009023926,0.0005670979,0.0003410371,0.00009891311,0.00006617532,0.0003993427,0.0000402173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001847437,"about_ca_system_score_gemma":0.00006747716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001068384,"about_ca_topic_score_gemma":0.0001752649,"domain_scores_codex":[0.99742,0.00002825888,0.0007884688,0.000696553,0.0003912451,0.0006754425],"domain_scores_gemma":[0.9984332,0.0002495843,0.0001255082,0.000812467,0.0001659811,0.0002132756],"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":[0.0003213215,0.0002266678,0.003459482,0.00009035788,0.000001129771,0.00001514061,0.0003963275,0.00007205224,0.01371206,0.001262931,0.008726183,0.9717163],"study_design_scores_gemma":[0.006500359,0.001394962,0.02695959,0.0009078024,0.00004855759,0.00005190895,0.0002781851,0.02799935,0.004038394,0.00117063,0.930268,0.0003822501],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.2257941,0.4381105,0.2153867,0.06873296,0.0005654834,0.01712874,0.0002056937,0.00174828,0.03232758],"genre_scores_gemma":[0.4385732,0.01203698,0.497948,0.00820551,0.002573042,0.003603817,0.0001282342,0.0002437051,0.03668753],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9713341,"threshold_uncertainty_score":0.9999458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02362760690365955,"score_gpt":0.325115904132026,"score_spread":0.3014882972283664,"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."}}