{"id":"W4390194854","doi":"10.1002/alz.077928","title":"Do we really need to normalize Hippocampal volume?","year":2023,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Neurological Disease Mechanisms and Treatments","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Douglas Mental Health University Institute; McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Segmentation; Hippocampal formation; Confidence interval; Population; Biomarker; Convolutional neural network; Neuroscience; Internal medicine; Artificial intelligence; Medicine; Computer science; Psychology; Biology","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":[0.01526163,0.001291202,0.001743816,0.001140406,0.0005614552,0.002681765,0.002482808,0.001072951,0.006480403],"category_scores_gemma":[0.08800184,0.0004272602,0.001161831,0.001707927,0.002344866,0.003115927,0.001102182,0.002486207,0.002220514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080102,"about_ca_system_score_gemma":0.001136514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004861921,"about_ca_topic_score_gemma":0.007274845,"domain_scores_codex":[0.9950604,0.001580838,0.0005160244,0.001402642,0.001282059,0.0001580963],"domain_scores_gemma":[0.9714736,0.01172966,0.003289941,0.006100925,0.006860812,0.0005451374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001534237,0.0001727822,0.09936219,0.0030266,0.004737232,0.0001587684,0.001004804,0.00363484,0.0091193,0.01300637,0.09107794,0.773165],"study_design_scores_gemma":[0.0009756287,0.001920696,0.4563171,0.005072445,0.003784098,0.003104964,0.002257139,0.0243472,0.04591799,0.2337955,0.2217746,0.0007326187],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3064938,0.09519631,0.406398,0.09591178,0.02700752,0.0008123813,0.02407789,0.009562122,0.0345402],"genre_scores_gemma":[0.7214562,0.009765863,0.2287599,0.01885311,0.00606023,0.001036121,0.005922346,0.003758521,0.004387756],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01526163,"threshold_uncertainty_score":0.0807122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05330139435717232,"score_gpt":0.2902987820735118,"score_spread":0.2369973877163395,"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."}}