{"id":"W3049013229","doi":"10.1371/journal.pone.0233244","title":"Multimodal principal component analysis to identify major features of white matter structure and links to reading","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"","keywords":"White matter; Principal component analysis; Diffusion MRI; Neuroscience; Fractional anisotropy; Myelin; Corpus callosum; Superior longitudinal fasciculus; Biology; Nuclear magnetic resonance; Artificial intelligence; Psychology; Computer science; Anatomy; Pattern recognition (psychology); Physics; Magnetic resonance imaging; Medicine; Central nervous system","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":[0.001555648,0.001028609,0.0006123902,0.002886771,0.0003466377,0.000922388,0.000259998,0.0002500196,0.00414841],"category_scores_gemma":[0.004137016,0.0001818244,0.001048912,0.002885613,0.0003650145,0.0004662873,0.0006089462,0.0005891018,0.0006646737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003230858,"about_ca_system_score_gemma":0.0008677184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004371949,"about_ca_topic_score_gemma":0.004704765,"domain_scores_codex":[0.9994037,0.0001516413,0.00006991308,0.000177797,0.0001234181,0.00007347693],"domain_scores_gemma":[0.9987373,0.0005744231,0.0001900414,0.0001981167,0.0002357557,0.00006439954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000880585,0.0004404989,0.3647962,0.0007013131,0.001884911,0.0007980871,0.001746885,0.01185908,0.08453849,0.003673922,0.006542139,0.5221378],"study_design_scores_gemma":[0.00003582726,0.0004546228,0.9143737,0.00007696537,0.0004276013,0.0005821698,0.0005268276,0.06245307,0.008661715,0.006888412,0.00544418,0.00007488501],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8656918,0.001188271,0.1240892,0.0002680495,0.00008339706,0.0004124221,0.004033099,0.00100879,0.003225092],"genre_scores_gemma":[0.9472118,0.0003188023,0.04861366,0.0000214512,0.00003717465,0.000230643,0.002147834,0.00009449974,0.001324156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004371949,"threshold_uncertainty_score":0.01387787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0615144840601415,"score_gpt":0.3368743666905438,"score_spread":0.2753598826304023,"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."}}