{"id":"W2152483624","doi":"10.1002/hipo.20616","title":"Fully‐automated, multi‐stage hippocampus mapping in very mild Alzheimer disease","year":2009,"lang":"en","type":"article","venue":"Hippocampus","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Institute of Mental Health; National Institute on Aging; National Center for Research Resources; Natural Sciences and Engineering Research Council of Canada","keywords":"Landmark; Hippocampus; Pipeline (software); Metric (unit); Artificial intelligence; Computer science; Pattern recognition (psychology); Neuroscience; Magnetic resonance imaging; Psychology; Medicine; Radiology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002732798,0.0004948937,0.0006203877,0.0005315807,0.0001738524,0.00006832142,0.0002302018,0.000185308,0.0002877021],"category_scores_gemma":[0.0001356959,0.0004480875,0.0003069826,0.0006587565,0.0001490241,0.0002867156,0.00007644271,0.000443927,0.0009624463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002277031,"about_ca_system_score_gemma":0.0005193627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007935577,"about_ca_topic_score_gemma":0.00001489604,"domain_scores_codex":[0.9966202,0.0001665512,0.0005433321,0.0007925547,0.0007344824,0.001142873],"domain_scores_gemma":[0.9974362,0.00009758214,0.0001129839,0.0008304874,0.0001266457,0.00139607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004537568,0.01045853,0.8033896,0.0004222309,0.008130816,0.02725658,0.0008878907,0.000206774,0.0009712813,0.0003795281,0.01048643,0.1328728],"study_design_scores_gemma":[0.01129751,0.0004429366,0.9735629,0.0006433285,0.0008485295,0.00007349414,0.0002455413,0.008911904,0.0002861116,0.00161933,0.001355862,0.0007125592],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566559,0.03752539,0.00003501915,0.001270305,0.0002351053,0.001505422,0.00007977124,0.0008035284,0.001889586],"genre_scores_gemma":[0.9960593,0.0004887986,0.001233852,0.001424242,0.0001591957,0.0001013594,0.0002594172,0.00006256789,0.0002112551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1701733,"threshold_uncertainty_score":0.9998154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0533461680453352,"score_gpt":0.3365309277024118,"score_spread":0.2831847596570766,"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."}}