{"id":"W4399304818","doi":"10.31219/osf.io/3s69b","title":"Functional Brain Networks Underlying Autobiographical Event Simulation: An Update","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital; University of Toronto; University of British Columbia","funders":"","keywords":"Autobiographical memory; Event (particle physics); Psychology; Computer science; Cognitive science; Cognitive psychology; Neuroscience; Cognition; Physics; Astrophysics","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":[0.003073932,0.001459572,0.00136909,0.004377652,0.0004545906,0.002741117,0.002203282,0.002073684,0.001887132],"category_scores_gemma":[0.006682082,0.001009367,0.0007823629,0.003550935,0.00260552,0.006856695,0.001436082,0.003024006,0.0007744764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001359143,"about_ca_system_score_gemma":0.001502824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003696307,"about_ca_topic_score_gemma":0.005647957,"domain_scores_codex":[0.9994121,0.00009358346,0.0001288905,0.0002122094,0.0001242792,0.00002903992],"domain_scores_gemma":[0.9920347,0.005647249,0.0005124781,0.0005213306,0.001113914,0.0001703247],"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":[0.0003418397,0.000141393,0.004573697,0.009089421,0.0006198757,0.0006646691,0.0008262452,0.002765017,0.009815129,0.01009193,0.02273613,0.9383347],"study_design_scores_gemma":[0.00007397526,0.0004548759,0.03164968,0.005314917,0.00156599,0.00649975,0.0006864832,0.007119969,0.008448069,0.0441227,0.8936263,0.0004373465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01239653,0.9511753,0.01994063,0.009715869,0.002088682,0.00005466068,0.0007655913,0.0003549666,0.003507786],"genre_scores_gemma":[0.0655378,0.8804486,0.03602298,0.003733963,0.01008039,0.0001237635,0.001306337,0.0002374693,0.002508751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004377652,"threshold_uncertainty_score":0.01625669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1076199756230066,"score_gpt":0.3424563101528863,"score_spread":0.2348363345298797,"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."}}