{"id":"W4312087002","doi":"10.1002/alz.066612","title":"Multi‐contrast unbiased MRI template of a Parkinson’s disease population","year":2022,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Fluid-attenuated inversion recovery; Contrast (vision); Voxel; Magnetic resonance imaging; Population; Substantia nigra; Nuclear medicine; Neuroimaging; Medicine; Parkinson's disease; Psychology; Artificial intelligence; Neuroscience; Pathology; Computer science; Radiology; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005886853,0.0003051621,0.000336538,0.0007691269,0.0004599673,0.0002992041,0.0004109225,0.0004010836,0.002862582],"category_scores_gemma":[0.001550323,0.0001379587,0.0002384833,0.0006521263,0.0002054556,0.0001451045,0.0003194115,0.000170341,0.0008160733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004533253,"about_ca_system_score_gemma":0.000526826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01936877,"about_ca_topic_score_gemma":0.02909063,"domain_scores_codex":[0.9996643,0.00006199578,0.00003401011,0.000148885,0.00006020734,0.00003061755],"domain_scores_gemma":[0.9995769,0.00006393215,0.00005004854,0.0000828607,0.0001911631,0.00003515616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003399437,0.0006415551,0.5745916,0.0005782154,0.0006781209,0.004857338,0.002715216,0.00748549,0.1822056,0.00253561,0.02540489,0.1949069],"study_design_scores_gemma":[0.00009722211,0.0005797223,0.9504591,0.00003721436,0.0002581713,0.006301769,0.000442466,0.01073743,0.009943749,0.0008003495,0.02027888,0.00006398788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9544398,0.0007988712,0.02956928,0.0001510636,0.00003829334,0.0008824847,0.0102712,0.0004062869,0.003442592],"genre_scores_gemma":[0.9609471,0.0002723744,0.02303086,0.0001450289,0.00003990023,0.0007366968,0.01274944,0.0001040479,0.001974587],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01936877,"threshold_uncertainty_score":0.03851205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03043986810388489,"score_gpt":0.2804280142466484,"score_spread":0.2499881461427635,"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."}}