{"id":"W1988517662","doi":"10.1089/109493103322278736","title":"A Platform for Combining Virtual Reality Experiments with Functional Magnetic Resonance Imaging","year":2003,"lang":"en","type":"article","venue":"CyberPsychology & Behavior","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Heart and Stroke Foundation of Canada","keywords":"Functional magnetic resonance imaging; Virtual reality; Human–computer interaction; Computer science; Wired glove; Magnetic resonance imaging; Functional Brain Imaging; Neuroimaging; Neuroscience; Psychology; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002530154,0.0002703041,0.0002662505,0.0001118842,0.0005452142,0.00003921784,0.0001808644,0.00008347176,0.0002023107],"category_scores_gemma":[0.00117346,0.0002532145,0.00008558641,0.0002570087,0.0004914283,0.0002504729,0.00004751611,0.0002419114,0.00005171801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001059013,"about_ca_system_score_gemma":0.00006386814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009923535,"about_ca_topic_score_gemma":0.00001519808,"domain_scores_codex":[0.9978316,0.0001146521,0.0002768783,0.0009554921,0.0003008981,0.0005204615],"domain_scores_gemma":[0.9977536,0.001524109,0.0001099892,0.0004221729,0.00009300651,0.00009707584],"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":[0.003153361,0.003542749,0.1480852,0.00000417617,0.00003139619,0.0003078279,0.001705956,0.00004751473,0.4245946,0.1036312,0.04500764,0.2698884],"study_design_scores_gemma":[0.009332512,0.002158871,0.8085067,0.00005399268,0.0001011192,0.0006803137,0.0008858232,0.00007288821,0.06124148,0.0005353728,0.1153912,0.001039728],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898206,0.0003373808,0.0008227803,0.0007943497,0.001391583,0.0007951615,0.00005160688,0.0001619966,0.005824537],"genre_scores_gemma":[0.9926976,0.000005703962,0.0006504598,0.003670731,0.00007042282,0.001261391,0.00000771905,0.00004588896,0.001590089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6604216,"threshold_uncertainty_score":0.999992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07726320665059203,"score_gpt":0.3288730410783022,"score_spread":0.2516098344277101,"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."}}