{"id":"W4412542628","doi":"10.31234/osf.io/2a3wt_v1","title":"Scene-sensitive medial temporal lobe subregions are recruited for the integration of non-scene stimuli","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Alzheimer's Society","keywords":"Temporal lobe; Neuroscience; Psychology; Lobe; Artificial intelligence; Computer vision; Cartography; Computer science; Anatomy; Geography; Biology; Epilepsy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001929361,0.0001801982,0.0001773573,0.0002428491,0.0001449279,0.0003669047,0.0002139347,0.0002009549,0.002047956],"category_scores_gemma":[0.0007591108,0.0002003605,0.000151737,0.00009273356,0.0003798619,0.0003177601,0.0003071489,0.000321321,0.0003105853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000266076,"about_ca_system_score_gemma":0.0002246814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001884992,"about_ca_topic_score_gemma":0.003626507,"domain_scores_codex":[0.9998994,0.00001043253,0.000005208106,0.00003510773,0.00002733374,0.00002256524],"domain_scores_gemma":[0.9996985,0.00004547224,0.0001055407,0.00005436017,0.00003348142,0.000062573],"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":[0.0002592143,0.00003656974,0.008732185,0.00004764447,0.00002056197,0.0001300631,0.0002366292,0.00008870499,0.9843577,0.0001562056,0.0001118906,0.005822647],"study_design_scores_gemma":[0.00006148245,0.0003077698,0.8556892,0.00001558131,0.00003526568,0.001080264,0.000281425,0.001656895,0.1389259,0.0006810678,0.001252265,0.00001294443],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996545,0.0001443459,0.001690552,0.00004748913,0.000005530262,0.00001584311,0.0001391447,0.00003718727,0.001374854],"genre_scores_gemma":[0.9974794,0.00004473664,0.001109002,0.00005246565,0.000003927021,0.00001797795,0.0001226162,0.00001497333,0.001154876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002047956,"threshold_uncertainty_score":0.006851077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2043917145269853,"score_gpt":0.4057227631572874,"score_spread":0.2013310486303021,"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."}}