{"id":"W1522777733","doi":"10.1002/9780470034590.emrstm0571","title":"Tissue NMR Ex Vivo","year":2007,"lang":"en","type":"reference-entry","venue":"Encyclopedia of Magnetic Resonance","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Ex vivo; Ovary; Cervix; Prostate; Ovarian tissue; Medicine; Gynecology; Internal medicine; In vivo; Biology; Cancer","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":[0.000457995,0.0004988132,0.000295167,0.0003902434,0.000598302,0.0007417688,0.0005676982,0.0008286072,0.01713756],"category_scores_gemma":[0.0005223069,0.0003924354,0.0002695216,0.000501691,0.0004692781,0.001074263,0.0005699166,0.001099473,0.00712965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003329561,"about_ca_system_score_gemma":0.0003591418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009137069,"about_ca_topic_score_gemma":0.001564625,"domain_scores_codex":[0.9997599,0.00004983493,0.00001371329,0.0001033049,0.00004280356,0.00003046206],"domain_scores_gemma":[0.9997385,0.00008035452,0.00002222572,0.00007662964,0.00005549739,0.00002677561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002409145,0.00006139409,0.0002203807,0.0002417193,0.00001786213,0.00015672,0.00007748057,0.0003296817,0.9794016,0.001885747,0.003562463,0.01380404],"study_design_scores_gemma":[0.00005188708,0.0005124559,0.002862582,0.00006159398,0.0001036889,0.001934481,0.0001250819,0.002357448,0.8944345,0.001624001,0.09589126,0.00004108381],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2536055,0.01042978,0.5388455,0.004910091,0.003816327,0.00059564,0.01416219,0.003156465,0.1704785],"genre_scores_gemma":[0.6093008,0.0116098,0.2097445,0.003492422,0.001055245,0.00083533,0.01123272,0.001600864,0.1511283],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01713756,"threshold_uncertainty_score":0.05733085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558704023285391,"score_gpt":0.3076585163002845,"score_spread":0.2920714760674306,"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."}}