{"id":"W7115031176","doi":"","title":"Methodological evaluation of brainasymmetry based on T1w MRI with application in Parkinson's disease neuroimaging","year":2024,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Neuroimaging; Disease; Medical imaging; Magnetic resonance imaging","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03332732,0.0008276346,0.0006940375,0.001452546,0.001361951,0.001990177,0.001480704,0.001131239,0.00178743],"category_scores_gemma":[0.08701553,0.0004434427,0.0006992802,0.002030559,0.001547922,0.0009435482,0.002132178,0.001051592,0.0004460806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005832198,"about_ca_system_score_gemma":0.001825127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001927652,"about_ca_topic_score_gemma":0.003457788,"domain_scores_codex":[0.9878554,0.00750974,0.001369367,0.001432904,0.001631805,0.0002008283],"domain_scores_gemma":[0.9754537,0.01275777,0.002793701,0.003635634,0.005083272,0.0002758751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004511307,0.0007225212,0.09977534,0.005966556,0.002162415,0.001587652,0.007332815,0.03559824,0.2202596,0.03190333,0.004173677,0.5860066],"study_design_scores_gemma":[0.0006629457,0.007793336,0.3422166,0.001791143,0.003395195,0.01064101,0.004026397,0.2501912,0.236108,0.06858499,0.07381307,0.0007761002],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2706628,0.003825444,0.7171153,0.0005541429,0.0002885942,0.002213686,0.0008498555,0.0007019333,0.003788342],"genre_scores_gemma":[0.4588484,0.001319419,0.5329964,0.0001769464,0.00008208919,0.004457357,0.0008767419,0.0005098024,0.0007328216],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03332732,"threshold_uncertainty_score":0.1762539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06310277284200572,"score_gpt":0.3409741890527129,"score_spread":0.2778714162107072,"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."}}