{"id":"W4412877969","doi":"10.14802/jmd.25137","title":"Cardiac 123I-Meta-Iodobenzylguanidine Imaging as a Biomarker for Body-First Parkinson’s Disease: Linking Peripheral α-Synuclein to Clinical Subtyping","year":2025,"lang":"en","type":"article","venue":"Journal of Movement Disorders","topic":"Neurological disorders and treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; University of Toronto; National Research Foundation","keywords":"Medicine; Subtyping; Biomarker; Parkinson's disease; Meta-analysis; Disease; Peripheral; Oncology; Pathology; Internal medicine; Medical physics; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008321073,0.0003433656,0.001007324,0.0002777844,0.0002276266,0.00008373891,0.0002196898,0.0000832427,0.0001991739],"category_scores_gemma":[0.0005594644,0.0002543474,0.001507531,0.0003158685,0.00007509521,0.0001418113,0.0001146075,0.0002880838,0.000008060341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001308522,"about_ca_system_score_gemma":0.0001901916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000413272,"about_ca_topic_score_gemma":0.00002207801,"domain_scores_codex":[0.9973553,0.0001169946,0.001118128,0.000456728,0.0004623047,0.0004905616],"domain_scores_gemma":[0.9983683,0.0002934274,0.0003700664,0.0003233651,0.0002093564,0.0004355491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005878804,0.002488575,0.8958395,0.0002744042,0.006506235,0.0001898148,0.0001181436,0.0001181951,0.0006938981,0.0006727534,0.04426261,0.04295711],"study_design_scores_gemma":[0.01033298,0.002097904,0.6977232,0.0004960228,0.00666819,0.00000194831,0.000344093,0.001764534,0.0000978023,0.02526982,0.254736,0.0004674981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8874774,0.01075962,0.005277561,0.08973929,0.002307016,0.002289103,0.00005027506,0.00007010406,0.002029642],"genre_scores_gemma":[0.9699893,0.001505518,0.001098332,0.02650714,0.000207641,0.00009894817,0.00001492252,0.0000442053,0.0005340046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2104734,"threshold_uncertainty_score":0.9999909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03401500246485631,"score_gpt":0.3410249909986547,"score_spread":0.3070099885337984,"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."}}