{"id":"W1515354912","doi":"10.1002/9781118271933.ch5","title":"Magnetic Resonance Technology","year":2012,"lang":"en","type":"other","venue":"","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Institute for Biodiagnostics","funders":"","keywords":"Menagerie; Magnetic resonance imaging; Pulse sequence; Nuclear magnetic resonance; Reading (process); Computer science; Image (mathematics); Physics; Artificial intelligence; Computer vision; Medicine; Radiology; Biology; Philosophy","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":[0.0005457891,0.0007821513,0.0006467514,0.001829116,0.001105128,0.0021845,0.001278051,0.001440005,0.146755],"category_scores_gemma":[0.001102772,0.0003218533,0.0003493916,0.001475474,0.0005612308,0.001896854,0.001432752,0.001288514,0.1401074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007002645,"about_ca_system_score_gemma":0.001012217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006659213,"about_ca_topic_score_gemma":0.001180438,"domain_scores_codex":[0.9992093,0.00007933417,0.00003633912,0.0001371952,0.0004794411,0.00005835287],"domain_scores_gemma":[0.9994842,0.00006036522,0.00002728914,0.0001177942,0.0002667243,0.00004361286],"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":[0.000091029,0.00007439155,0.0003512507,0.0006715159,0.00002171377,0.0004091331,0.0001558084,0.0003484543,0.02850066,0.05911895,0.3591399,0.5511172],"study_design_scores_gemma":[0.000006828213,0.0000247929,0.0001701595,0.0000837083,0.000007343608,0.0004753682,0.00002620179,0.0001728522,0.005256541,0.003198391,0.9905689,0.000008850263],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002033928,0.01588366,0.04632672,0.003035974,0.006283258,0.0002333265,0.001553625,0.003073679,0.9215758],"genre_scores_gemma":[0.01891157,0.0128333,0.03801087,0.002947028,0.001282721,0.0002238952,0.002412796,0.0006251714,0.9227527],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.146755,"threshold_uncertainty_score":0.4909443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094250116287391,"score_gpt":0.3043531706539,"score_spread":0.2934106694910261,"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."}}