{"id":"W3112084228","doi":"10.1002/alz.046652","title":"The development of a valid, reliable, harmonized segmentation protocol for hippocampal subfields and medial temporal lobe cortices: A progress update","year":2020,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Douglas Mental Health University Institute; University of Toronto","funders":"","keywords":"Hippocampal formation; Temporal lobe; Segmentation; Hippocampus; Protocol (science); Computer science; Medicine; Neuroscience; Psychology; Artificial intelligence; Pathology; Epilepsy","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":[0.1274871,0.002271415,0.002524615,0.006177531,0.002215268,0.00761816,0.00966226,0.003851068,0.007025617],"category_scores_gemma":[0.1309168,0.001811593,0.002950261,0.003282267,0.004269175,0.008987561,0.00618695,0.007015585,0.009285626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002770607,"about_ca_system_score_gemma":0.01530507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006359513,"about_ca_topic_score_gemma":0.00455664,"domain_scores_codex":[0.9640092,0.01406644,0.006079915,0.00430654,0.0104269,0.001110977],"domain_scores_gemma":[0.8488021,0.02991305,0.007648152,0.0299879,0.08039866,0.003250054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007641962,0.0007506631,0.01145489,0.006977239,0.0005749781,0.0006257146,0.00385885,0.003347263,0.033418,0.01609578,0.1152732,0.8068593],"study_design_scores_gemma":[0.0002904715,0.001622415,0.02319022,0.008464655,0.001291307,0.003327058,0.001815586,0.01784615,0.07478403,0.0244954,0.8421751,0.0006976271],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01560203,0.02161219,0.9187546,0.01225273,0.004969819,0.004824189,0.003178751,0.01093687,0.007868858],"genre_scores_gemma":[0.02457844,0.008332761,0.9451658,0.001905613,0.0009682409,0.004820742,0.007692471,0.003728122,0.002807827],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1274871,"threshold_uncertainty_score":0.6742243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06552030690018112,"score_gpt":0.3409449064719812,"score_spread":0.2754245995718,"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."}}