{"id":"W2064133488","doi":"10.1007/s00415-011-5915-2","title":"Diffusion tensor imaging and olfactory identification testing in early-stage Parkinson's disease","year":2011,"lang":"en","type":"article","venue":"Journal of Neurology","topic":"Olfactory and Sensory Function Studies","field":"Neuroscience","cited_by":138,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Canadian Institutes of Health Research; Dalhousie University","keywords":"Substantia nigra; Diffusion MRI; Parkinson's disease; Fractional anisotropy; Olfaction; Neurology; Medicine; Neuroscience; Pathology; Psychology; Disease; Magnetic resonance imaging; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001434213,0.0009025077,0.0008486296,0.00157687,0.0009744898,0.0007945035,0.000519922,0.001349659,0.001182768],"category_scores_gemma":[0.004336105,0.0003865805,0.0005149905,0.0007305628,0.0009147579,0.001591857,0.0004837803,0.0008499561,0.0001763578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007177151,"about_ca_system_score_gemma":0.000718921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009042266,"about_ca_topic_score_gemma":0.0123134,"domain_scores_codex":[0.9996793,0.00007224355,0.00007069155,0.00004069831,0.0000636824,0.00007346203],"domain_scores_gemma":[0.9983763,0.000636404,0.0003113625,0.00004869475,0.0002814828,0.0003458739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004750753,0.0006048415,0.9462832,0.0001547413,0.0001828658,0.02758949,0.0007552711,0.000290518,0.009102276,0.0001714877,0.0002442765,0.009870511],"study_design_scores_gemma":[0.00007884928,0.002016872,0.9698722,0.00005164305,0.000189767,0.02271005,0.001245018,0.0009291398,0.002106952,0.0004340037,0.0003324561,0.00003312631],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970664,0.001128447,0.0001054434,0.0001249991,0.00001030131,0.00001669268,0.00005843506,0.000002514079,0.00148666],"genre_scores_gemma":[0.9991673,0.0003655105,0.0001109071,0.00005389804,0.00001668327,0.0000052572,0.00005320558,0.000001154638,0.0002260712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009042266,"threshold_uncertainty_score":0.01797926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1802790372943413,"score_gpt":0.2647219681326725,"score_spread":0.08444293083833115,"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."}}