{"id":"W3130290884","doi":"10.1049/iet-ipr.2020.1048","title":"Machine learning and deep learning for clinical data and PET/SPECT imaging in Parkinson's disease: a review","year":2020,"lang":"en","type":"review","venue":"IET Image Processing","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bishop's University","funders":"","keywords":"Computer science; Artificial intelligence; Deep learning; Parkinson's disease; Disease; Medical physics; Medicine; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008158898,0.001011397,0.00135736,0.002721136,0.0002052144,0.000888777,0.000938944,0.001393067,0.003970638],"category_scores_gemma":[0.001172487,0.0003984734,0.0007715193,0.003336595,0.0004769255,0.001497811,0.0006785926,0.001704937,0.001911656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005468999,"about_ca_system_score_gemma":0.001145797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001767452,"about_ca_topic_score_gemma":0.002134258,"domain_scores_codex":[0.9997866,0.00004764465,0.00003687344,0.00004129054,0.00007036556,0.0000173369],"domain_scores_gemma":[0.9993619,0.0004131157,0.00007051876,0.00001694369,0.0001085157,0.00002894037],"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":[0.00004555381,0.00007236368,0.0001950037,0.01719615,0.0001202258,0.0001024965,0.00004850722,0.0007259386,0.0004935412,0.003462906,0.02148694,0.9560503],"study_design_scores_gemma":[0.00002641411,0.0001830405,0.001621828,0.01177121,0.0002872007,0.001264262,0.00007301959,0.0007682961,0.0004854642,0.00453629,0.9789329,0.00005002789],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008799921,0.9987026,0.0003042522,0.0001845208,0.0001013071,0.000006217045,0.0000160097,0.000007516415,0.0005895371],"genre_scores_gemma":[0.0006865312,0.9981869,0.0004192063,0.0001562033,0.0001591799,0.000009540122,0.00003321241,0.000002682578,0.0003466073],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003970638,"threshold_uncertainty_score":0.01328313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08982693355031535,"score_gpt":0.4364464687705263,"score_spread":0.346619535220211,"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."}}