{"id":"W4313461157","doi":"10.1371/journal.pone.0278239","title":"Vestibular contribution to path integration deficits in ‘at-genetic-risk’ for Alzheimer’s disease","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Vestibular and auditory disorders","field":"Neuroscience","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"Canadian Institutes of Health Research; University of East Anglia; Alzheimer Society","keywords":"Vestibular system; Path integration; Disease; Neuroscience; Computer science; Alzheimer's disease; Task (project management); Physical medicine and rehabilitation; Psychology; Medicine; Audiology; Machine learning; Artificial intelligence; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005085146,0.0006742043,0.0003236225,0.0008714031,0.0003336323,0.0005933905,0.0002026549,0.0004079927,0.002167561],"category_scores_gemma":[0.00237377,0.0002069068,0.0002422273,0.0002585999,0.0003980819,0.0003756899,0.0005346926,0.0004239134,0.0002333338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002227816,"about_ca_system_score_gemma":0.0001760977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004577164,"about_ca_topic_score_gemma":0.005962852,"domain_scores_codex":[0.9998516,0.00002813221,0.000019991,0.00004801138,0.00002810544,0.00002412539],"domain_scores_gemma":[0.9993846,0.0002189413,0.0001998146,0.00006972624,0.00006310244,0.00006371829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003355327,0.0005388789,0.8548715,0.00006637483,0.0002600921,0.00241724,0.000782996,0.001200509,0.09952956,0.0003766707,0.0004065296,0.03619448],"study_design_scores_gemma":[0.00001822017,0.0003663763,0.9922857,0.00001342564,0.000076393,0.00147133,0.0002194995,0.001958416,0.002837534,0.000516879,0.0002174226,0.00001870271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994987,0.00004905487,0.0002442412,0.00001634695,0.000002860018,0.000003454126,0.00006119895,0.000006182065,0.000117821],"genre_scores_gemma":[0.9994674,0.00003532943,0.0002633989,0.000009703669,0.000002952469,0.00000328061,0.0000770119,0.00000349648,0.0001373438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004577164,"threshold_uncertainty_score":0.009101033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06354416964119709,"score_gpt":0.2670950206479027,"score_spread":0.2035508510067057,"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."}}