{"id":"W1966562773","doi":"10.1002/mds.24976","title":"Neuroimaging: Current role in detecting pre‐motor Parkinson's disease","year":2012,"lang":"en","type":"review","venue":"Movement Disorders","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Vancouver Coastal Health","funders":"","keywords":"Neuroimaging; Neuroscience; Parkinson's disease; Substantia nigra; Dopaminergic; Functional neuroimaging; Magnetic resonance imaging; Functional magnetic resonance imaging; Medicine; Psychology; Functional imaging; Disease; Dopamine; Pathology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000218609,0.000838272,0.001449951,0.0005065071,0.0001139791,0.00005469322,0.0002428452,0.0001305671,0.0001922092],"category_scores_gemma":[0.00006351709,0.0007180667,0.0008117431,0.0004052642,0.00004327215,0.0001417088,0.0001929449,0.0005371128,0.0001352499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005315209,"about_ca_system_score_gemma":0.000332487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009088661,"about_ca_topic_score_gemma":0.00004253637,"domain_scores_codex":[0.9966854,0.0001739898,0.000711321,0.0009335101,0.000575645,0.0009201334],"domain_scores_gemma":[0.9980523,0.00006267056,0.0003652896,0.000758853,0.00002653702,0.0007343783],"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":[0.00006908226,0.001517878,0.009197362,0.008934995,0.0001869108,0.00005650451,0.0000443981,6.882273e-7,6.388162e-7,0.00004422666,0.00008865285,0.9798586],"study_design_scores_gemma":[0.001272639,0.00009830472,0.009960687,0.005977961,0.002488913,7.172468e-7,0.00002827922,0.0000656371,6.713376e-7,0.0007309095,0.9788296,0.0005456943],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008155836,0.9944921,0.00004418484,0.00009442063,0.0006631734,0.003110763,0.0001397249,0.0001290565,0.0005110526],"genre_scores_gemma":[0.003423717,0.9937849,0.00006997364,0.0003279111,0.0002074716,0.001415205,0.0003141839,0.000167647,0.0002890095],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.979313,"threshold_uncertainty_score":0.999527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0351723578194502,"score_gpt":0.3184637058436003,"score_spread":0.2832913480241501,"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."}}