{"id":"W4413863701","doi":"10.1007/978-3-031-99410-4_5","title":"Basic Principles and Preclinical Applications of Magnetic Resonance Imaging (MRI)","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"Magnetic resonance imaging; Nuclear magnetic resonance; Medicine; Physics; Radiology","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":[0.0003524149,0.0009403393,0.0005245688,0.001102959,0.0004647147,0.002015606,0.001055668,0.001180645,0.02947416],"category_scores_gemma":[0.0003587152,0.0004964775,0.0003159067,0.0008651377,0.00088741,0.001915693,0.00077607,0.001883214,0.02046058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004438909,"about_ca_system_score_gemma":0.0006733625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005026116,"about_ca_topic_score_gemma":0.001059022,"domain_scores_codex":[0.9997912,0.00001834552,0.000007188115,0.00002697911,0.0001428585,0.00001338003],"domain_scores_gemma":[0.9998533,0.00006242633,0.000008062655,0.00001119895,0.0000510341,0.00001396363],"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":[0.0001016666,0.0001568903,0.00009694944,0.001787205,0.00001277005,0.0004279715,0.0003277003,0.001458477,0.08284293,0.1587111,0.1379874,0.616089],"study_design_scores_gemma":[0.00000429601,0.00004964297,0.0001381683,0.0002308893,0.000005404934,0.0007583617,0.00003939919,0.0004558183,0.008511103,0.02081686,0.9689767,0.00001335356],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.002213833,0.2102386,0.09024879,0.002775708,0.003636722,0.0001662862,0.0004153469,0.001123452,0.6891813],"genre_scores_gemma":[0.01261796,0.1744647,0.06665696,0.002224416,0.001545659,0.0002079157,0.0003972614,0.000369056,0.7415161],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02947416,"threshold_uncertainty_score":0.09860092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02849273678920192,"score_gpt":0.3366137735225616,"score_spread":0.3081210367333597,"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."}}