{"id":"W4387379617","doi":"10.36227/techrxiv.24173016.v2","title":"VRNConnect: A virtual reality immersive environment for exploring brain connectivity data","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Connectome; Computer science; Visualization; Connectomics; Virtual reality; Toolbox; Headset; Diffusion MRI; Brain atlas; Human–computer interaction; Artificial intelligence; Functional connectivity; Neuroscience; Psychology; Magnetic resonance imaging","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":[0.000865113,0.001732908,0.0006509024,0.0008267037,0.0003087128,0.001350622,0.00216649,0.000874901,0.03656219],"category_scores_gemma":[0.002757906,0.0006542603,0.001549195,0.0003211048,0.0004648409,0.001256786,0.00311427,0.001060651,0.00315604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003086557,"about_ca_system_score_gemma":0.0006549559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001612191,"about_ca_topic_score_gemma":0.003070267,"domain_scores_codex":[0.9996767,0.00008356872,0.00002126,0.00006189482,0.0001048233,0.00005177358],"domain_scores_gemma":[0.9990671,0.0005245043,0.00004554574,0.00009577734,0.0001048562,0.0001623263],"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":[0.003450011,0.0006582362,0.004620277,0.004816907,0.0007417699,0.003877146,0.004445127,0.04156105,0.1660189,0.02043548,0.2643005,0.4850747],"study_design_scores_gemma":[0.00144446,0.002206575,0.01572251,0.001139368,0.0006874311,0.005446415,0.0006825064,0.2634984,0.06068671,0.0281794,0.619086,0.001220257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.04522108,0.00221835,0.8389815,0.001006388,0.000596113,0.001667684,0.01582438,0.07800806,0.01647647],"genre_scores_gemma":[0.210503,0.002607473,0.7415056,0.001105793,0.000234473,0.004460189,0.0147933,0.01004887,0.01474128],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03656219,"threshold_uncertainty_score":0.1223128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4325356449784884,"score_gpt":0.3559291388487558,"score_spread":0.07660650612973263,"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."}}