{"id":"W6958123544","doi":"10.60692/p4y9h-8kp21","title":"Role of multimodal advanced biomarkers as potential predictors of cognitive and psychiatric aspects of Parkinson's disease","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neuropsychology; Depression (economics); Biomarker; Cognition; Montreal Cognitive Assessment; Disease; Beck Depression Inventory; Fractional anisotropy; Diffusion MRI","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007502951,0.0008374662,0.0006915448,0.001316992,0.0002363719,0.001087794,0.000299702,0.000601485,0.001365635],"category_scores_gemma":[0.001920933,0.0002023603,0.000361451,0.0006747015,0.0001694705,0.0003500546,0.0003706609,0.0005203573,0.0001632468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001945783,"about_ca_system_score_gemma":0.0002076072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000720032,"about_ca_topic_score_gemma":0.0008922279,"domain_scores_codex":[0.999645,0.000140808,0.00003872827,0.00007685894,0.0000619811,0.00003663255],"domain_scores_gemma":[0.9988101,0.00032839,0.0004515675,0.00004962863,0.0001918698,0.0001685343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007511497,0.0001062474,0.9867375,0.00004804202,0.0002095238,0.0002497599,0.00003335599,0.0002517066,0.001624779,0.00004230795,0.0001346171,0.009810952],"study_design_scores_gemma":[0.00002933345,0.000643537,0.9938373,0.00004655716,0.0002243702,0.001007108,0.000107319,0.00267216,0.000625462,0.0002763174,0.0005159006,0.00001452874],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929695,0.004557242,0.000667035,0.0001486688,0.00002529475,0.00002850733,0.0004789436,0.00002121522,0.001103521],"genre_scores_gemma":[0.9983782,0.0003450178,0.0007954599,0.0000284939,0.00003375393,0.00001324473,0.0001943834,0.000001602297,0.0002098771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001365635,"threshold_uncertainty_score":0.004568517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009368461237398427,"score_gpt":0.2228188748966876,"score_spread":0.2134504136592891,"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."}}