{"id":"W4213031564","doi":"10.32920/ryerson.14644995.v1","title":"Characterization of the hemodynamic response of the hippocampal and parahippocampal regions using FMRI","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hippocampal formation; Hemodynamics; Neuroscience; Haemodynamic response; Hippocampus; Perirhinal cortex; Neuroimaging; Temporal lobe; Psychology; Parahippocampal gyrus; Entorhinal cortex; Epilepsy; Medicine; Cardiology; Internal medicine; Heart rate; Blood pressure","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":[0.0001649578,0.0002522389,0.0001837774,0.00022842,0.0001096316,0.0002519094,0.0001413407,0.0002584163,0.000728864],"category_scores_gemma":[0.0004887256,0.00008272325,0.0001568695,0.000157455,0.0001730527,0.0001676046,0.0001103553,0.000217248,0.0001553411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009209914,"about_ca_system_score_gemma":0.0002103896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008288575,"about_ca_topic_score_gemma":0.001792904,"domain_scores_codex":[0.9999444,0.0000114494,0.000001508749,0.00001933892,0.00001060647,0.00001263413],"domain_scores_gemma":[0.9999427,0.00002828305,0.000008983285,0.000005383664,0.000007282868,0.000007436197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001846851,0.0000801377,0.006561268,0.00006338181,0.00003339451,0.0001605755,0.0001364464,0.00800804,0.9273133,0.0009742968,0.0002556068,0.05622876],"study_design_scores_gemma":[0.00003241566,0.0004233784,0.3234102,0.00001824299,0.0000704604,0.001406949,0.0001658697,0.3581506,0.3107117,0.003629459,0.001928673,0.00005201933],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8658328,0.0002121109,0.1310433,0.00008315466,0.00001221634,0.00004807778,0.0001676789,0.0001784925,0.00242212],"genre_scores_gemma":[0.9463856,0.0001419643,0.05233245,0.00002224674,0.00001760905,0.0000528755,0.0001457882,0.00004209095,0.0008593405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008288575,"threshold_uncertainty_score":0.002438307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08713277547749847,"score_gpt":0.3009318078219684,"score_spread":0.2137990323444699,"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."}}