{"id":"W2615600559","doi":"10.1615/critrevbiomedeng.2017020438","title":"Validation of Structural Equation Modeling Methods for Functional MRI Data Acquired in the Human Brainstem and Spinal Cord","year":2016,"lang":"en","type":"article","venue":"Critical Reviews in Biomedical Engineering","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Brainstem; Spinal cord; Neuroscience; Computer science; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002102631,0.00009050306,0.0001837383,0.0001169454,0.00004757168,0.00002078678,0.0002314598,0.00006065816,0.00001376574],"category_scores_gemma":[0.01141884,0.00005565318,0.00002933301,0.0002832844,0.0001296584,0.0002211557,0.00005355989,0.00008353448,9.775511e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003928248,"about_ca_system_score_gemma":0.00001454212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001509048,"about_ca_topic_score_gemma":3.880958e-7,"domain_scores_codex":[0.9986102,0.000231158,0.0005072025,0.0003074473,0.0001829399,0.0001610558],"domain_scores_gemma":[0.9984387,0.001183769,0.00004684286,0.0002552866,0.0000225522,0.00005289154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003550194,0.00002855064,0.00001831514,0.0003206772,0.000001043588,6.737649e-7,0.00004267737,0.00005515696,0.6978402,0.04647747,0.00001595213,0.2551638],"study_design_scores_gemma":[0.0005620626,0.0001404081,0.0007725236,0.0005411365,0.00001153252,0.00002063715,0.00003399089,0.9812934,0.009741853,0.003745469,0.002999323,0.0001376317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04410632,0.0003622006,0.9530324,0.001880888,0.0002326056,0.0003476373,0.000009920382,0.00001724846,0.00001076197],"genre_scores_gemma":[0.9888061,0.0001065625,0.01078664,0.0001226776,0.0000858244,0.00006937311,0.00001280673,0.000007598911,0.000002369361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9812382,"threshold_uncertainty_score":0.9969084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2846688350102001,"score_gpt":0.4481131099913296,"score_spread":0.1634442749811295,"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."}}