{"id":"W4411442734","doi":"10.1016/j.smhl.2025.100595","title":"A non-immersive virtual reality serious game to assess distractor inhibition and spatial attention in post-stroke individuals","year":2025,"lang":"en","type":"article","venue":"Smart Health","topic":"Spatial Neglect and Hemispheric Dysfunction","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Centre for Interdisciplinary Research in Rehabilitation","funders":"Bijzonder Onderzoeksfonds UGent; Fonds Spéciaux de Recherche","keywords":"Virtual reality; Human–computer interaction; Stroke (engine); Video game; Psychology; Computer science; Cognitive psychology; Physical medicine and rehabilitation; Multimedia; Medicine; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003063831,0.0001518744,0.0002449451,0.0001495342,0.0001610211,0.00006931721,0.0000708778,0.00009412578,0.00003026447],"category_scores_gemma":[0.000273529,0.000160513,0.0000398577,0.0003898103,0.00004932289,0.0001859688,0.00007872519,0.0002340239,0.00002034989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002435584,"about_ca_system_score_gemma":0.0003031105,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008849186,"about_ca_topic_score_gemma":0.008639093,"domain_scores_codex":[0.998386,0.0001600926,0.0003668131,0.0004768372,0.0002541694,0.0003560938],"domain_scores_gemma":[0.9993752,0.0001133782,0.0001358558,0.0001693895,0.00004696624,0.000159158],"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":[0.0005015088,0.0003912123,0.1101538,0.0001824751,0.00001044871,0.00001622638,0.001662978,0.00003679466,0.8109856,0.000417283,0.001387757,0.07425398],"study_design_scores_gemma":[0.001051535,0.0007069827,0.9657376,0.0001329916,0.000008677532,0.000006242044,0.0003119521,0.000421957,0.03019751,0.0001256277,0.001124954,0.0001739283],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846582,0.000009891774,0.008576975,0.004678754,0.0006192244,0.0007467185,0.0001576665,0.00003624209,0.0005162974],"genre_scores_gemma":[0.9953955,0.00004013988,0.00003552118,0.003936732,0.00007971676,0.0000469839,0.00004952245,0.000010501,0.0004053825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8555839,"threshold_uncertainty_score":0.997751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02589727020516435,"score_gpt":0.311597678755096,"score_spread":0.2857004085499317,"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."}}