{"id":"W2797850641","doi":"10.1038/s41531-018-0047-3","title":"Neuromelanin detection by magnetic resonance imaging (MRI) and its promise as a biomarker for Parkinson’s disease","year":2018,"lang":"en","type":"review","venue":"npj Parkinson s Disease","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":273,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"Ministero dell’Istruzione, dell’Università e della Ricerca; Università degli Studi di Milano","keywords":"Neuromelanin; Magnetic resonance imaging; Substantia nigra; Locus coeruleus; Parkinson's disease; Dopaminergic; Biomarker; Medicine; Disease; Dopamine; Neuroscience; Pathogenesis; Pathology; Internal medicine; Psychology; Chemistry; Radiology; Central nervous system; Biochemistry","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":["metaepi_narrow"],"category_scores_codex":[0.0003610613,0.001536349,0.002118455,0.0005922446,0.0004690872,0.0002422601,0.0003741908,0.0003195163,0.0003737973],"category_scores_gemma":[0.000564131,0.001344613,0.001160558,0.0006334282,0.0001998899,0.0002823004,0.000218447,0.000379662,0.0003713411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004250205,"about_ca_system_score_gemma":0.0009441135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002800978,"about_ca_topic_score_gemma":0.000005700538,"domain_scores_codex":[0.9938804,0.0003801441,0.001057598,0.002622401,0.0008465101,0.001212934],"domain_scores_gemma":[0.9944223,0.0002096895,0.0006048628,0.001238269,0.0002584011,0.003266473],"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":[0.003044597,0.001175302,0.0009309485,0.01607805,0.0002482987,0.001339911,0.00002268547,2.791979e-8,0.00001640246,0.00002619707,0.0089356,0.968182],"study_design_scores_gemma":[0.003930951,0.0004413529,0.00676791,0.007056466,0.008306937,0.0001091147,0.000006629503,0.001171198,0.00001637392,0.0001708647,0.9708815,0.001140728],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001820058,0.9852475,0.00009120905,0.0001813491,0.0005931938,0.007238335,0.004274744,0.0003276652,0.0002259661],"genre_scores_gemma":[0.01553928,0.974095,0.0001716846,0.0005179651,0.0005112244,0.005353696,0.001340023,0.0004358468,0.002035294],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9670413,"threshold_uncertainty_score":0.9997385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02978738094263227,"score_gpt":0.308936419505672,"score_spread":0.2791490385630397,"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."}}