{"id":"W2951738495","doi":"10.1016/j.neuroimage.2017.11.054","title":"Unfolding the hippocampus: An intrinsic coordinate system for subfield segmentations and quantitative mapping","year":2017,"lang":"en","type":"article","venue":"NeuroImage","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":88,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; Western University","funders":"Canadian Institutes of Health Research; Epilepsy Research Program of the Ontario Brain Institute; Canada First Research Excellence Fund; Fondation Brain Canada","keywords":"Coordinate system; Hippocampus; Computer science; Neuroscience; Artificial intelligence; Psychology","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":[0.0004576537,0.0004723231,0.0003520954,0.001028777,0.0003662285,0.001748765,0.0005768712,0.0003948973,0.002672236],"category_scores_gemma":[0.001919789,0.0002798172,0.0004563353,0.001072291,0.0006284404,0.001042893,0.0009272503,0.0007635342,0.0006181479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000598634,"about_ca_system_score_gemma":0.00135203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00495372,"about_ca_topic_score_gemma":0.006321379,"domain_scores_codex":[0.999809,0.00004112531,0.00001222803,0.00006843979,0.00004597364,0.00002318257],"domain_scores_gemma":[0.9996457,0.00006948433,0.00005338158,0.0001004508,0.00009509373,0.00003591123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003934649,0.00006083625,0.006036556,0.000300279,0.0001395648,0.0002205751,0.0008888691,0.06949203,0.1898094,0.1196404,0.008444844,0.6045732],"study_design_scores_gemma":[0.00005336431,0.0002762302,0.02347261,0.00006369013,0.0001531494,0.001284424,0.0006313452,0.5770592,0.1527144,0.2000388,0.044098,0.0001547971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0344963,0.0001771656,0.9623871,0.0002069595,0.00003596301,0.00003101441,0.0004921572,0.0009257696,0.001247549],"genre_scores_gemma":[0.3068848,0.0004817908,0.6891559,0.00005288105,0.00005580613,0.00008703001,0.000565645,0.0007776165,0.001938564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00495372,"threshold_uncertainty_score":0.009849727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1798286465372184,"score_gpt":0.3664194672415757,"score_spread":0.1865908207043573,"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."}}