{"id":"W2894959679","doi":"10.1016/j.nicl.2018.09.028","title":"Widespread diffusion changes differentiate Parkinson's disease and progressive supranuclear palsy","year":2018,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Brain Institute; University of Calgary","funders":"","keywords":"Progressive supranuclear palsy; Diffusion MRI; Fractional anisotropy; Parkinson's disease; Artificial intelligence; Psychology; Nuclear medicine; Medicine; Pathology; Computer science; Disease; Magnetic resonance imaging; 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":[0.0006227784,0.0004076753,0.0004278104,0.0009864451,0.0001898736,0.0003702491,0.0001559816,0.0003949101,0.0005678112],"category_scores_gemma":[0.001263359,0.0001434021,0.0002200864,0.0003911574,0.0003515036,0.0003087558,0.0003625633,0.0001854714,0.0001572457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001369531,"about_ca_system_score_gemma":0.0001702507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001182295,"about_ca_topic_score_gemma":0.002834493,"domain_scores_codex":[0.9997734,0.00005508718,0.00004189113,0.00006290871,0.00004293697,0.00002387222],"domain_scores_gemma":[0.9994605,0.0001973415,0.0001875106,0.00004911244,0.0000690328,0.00003656346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001850644,0.0002106954,0.6376954,0.0003894982,0.0003878633,0.002573833,0.0005231613,0.001855902,0.178606,0.0003640993,0.0006407565,0.1749022],"study_design_scores_gemma":[0.00002085829,0.0002919595,0.9834854,0.00002870138,0.000070635,0.003968557,0.0003279832,0.003332271,0.007603337,0.0003442025,0.000512555,0.00001349039],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969817,0.000768905,0.001741679,0.00002916968,0.000005046531,0.00001113959,0.0001040625,0.00002056975,0.0003377948],"genre_scores_gemma":[0.9975878,0.000279346,0.001753875,0.00001380595,0.000006654977,0.000007127115,0.0002378467,0.000002657449,0.0001108979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001182295,"threshold_uncertainty_score":0.003293633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1195562695030688,"score_gpt":0.4232432279627072,"score_spread":0.3036869584596384,"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."}}