{"id":"W2889789314","doi":"10.1002/jmri.26269","title":"Evaluation of Intra‐ and Interscanner Reliability of MRI Protocols for Spinal Cord Gray Matter and Total Cross‐Sectional Area Measurements","year":2018,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"School of Medicine, University of California, San Francisco; University of California, San Francisco; Polytechnique Montréal","keywords":"Gray (unit); Medicine; Spinal cord; Reliability (semiconductor); Cross-sectional study; Nuclear medicine; Radiology; Pathology; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01229414,0.0008036757,0.0005656193,0.001084786,0.0005758028,0.0008651827,0.0008852033,0.001010421,0.001303194],"category_scores_gemma":[0.03401799,0.0006030523,0.0007217041,0.000517652,0.0007449627,0.0007047981,0.0009453474,0.0005937195,0.000604765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000393758,"about_ca_system_score_gemma":0.0004064588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00116695,"about_ca_topic_score_gemma":0.003125325,"domain_scores_codex":[0.9934325,0.002938897,0.0008124424,0.001629477,0.001004675,0.0001819443],"domain_scores_gemma":[0.9646778,0.014712,0.004469543,0.005524944,0.009916455,0.0006993041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03282512,0.002252377,0.6532168,0.001212887,0.009550477,0.0003513945,0.004433479,0.008512958,0.1163762,0.0007146611,0.002625119,0.1679284],"study_design_scores_gemma":[0.0005904659,0.008187213,0.945016,0.00008895399,0.001326609,0.0009629072,0.0004859294,0.01548027,0.0243294,0.0005340177,0.00284932,0.0001488727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980002,0.001297486,0.01574758,0.00004147967,0.0001446825,0.0006001141,0.0004702542,0.0002535462,0.00144294],"genre_scores_gemma":[0.9815547,0.0001645214,0.0161471,0.00004702548,0.00005765046,0.0006077242,0.0005922894,0.0001177997,0.0007111768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01229414,"threshold_uncertainty_score":0.06501842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1226266850351112,"score_gpt":0.4348650783346461,"score_spread":0.312238393299535,"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."}}