{"id":"W2085830677","doi":"10.1016/j.neulet.2011.02.065","title":"Hippocampal atrophy rates in Alzheimer's disease: Automated segmentation variability analysis","year":2011,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Ministère du Développement Économique, de l’Innovation et de l’Exportation","keywords":"Atrophy; Alzheimer's disease; Neuroscience; Hippocampal formation; Degenerative disease; Disease; Medicine; Central nervous system disease; Psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004289596,0.0001174059,0.0001692809,0.0003829565,0.00007610223,0.00003837865,0.0001390767,0.00002054558,0.0002336459],"category_scores_gemma":[0.000113181,0.0001016682,0.000101821,0.00167749,0.0002441354,0.0002304213,0.00004848961,0.0001303166,0.00002385269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004649298,"about_ca_system_score_gemma":0.0000624653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006709767,"about_ca_topic_score_gemma":0.000003667591,"domain_scores_codex":[0.9982768,0.0002063397,0.0002099728,0.0004603566,0.00048909,0.000357409],"domain_scores_gemma":[0.9994133,0.00004075953,0.0000494368,0.0002421289,0.00004635745,0.0002080616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001222426,0.000225583,0.912683,0.000008367385,0.00002940166,0.0001465713,0.0001163003,0.00002646979,0.08577611,0.000009003841,0.0001085883,0.0007483478],"study_design_scores_gemma":[0.0004887976,0.0001188631,0.9810174,0.000007116508,0.0003678323,0.000002236593,0.00002596326,0.01040827,0.007420891,0.00003604831,0.00001730634,0.00008931645],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963827,0.00001211709,0.001315063,0.001367477,0.0001054524,0.0004083799,0.00000611642,0.000119705,0.0002829483],"genre_scores_gemma":[0.994675,0.000006969425,0.0003750779,0.004840404,0.00001700536,0.00004887218,0.00001686956,0.000007083399,0.00001273666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07835522,"threshold_uncertainty_score":0.4145909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03664969832635634,"score_gpt":0.3275535143633776,"score_spread":0.2909038160370213,"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."}}