{"id":"W4315695094","doi":"10.2196/40651","title":"Negami: An Augmented Reality App for the Treatment of Spatial Neglect After Stroke","year":2023,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Spatial Neglect and Hemispheric Dysfunction","field":"Neuroscience","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Virtual reality; Augmented reality; Usability; Neglect; Context (archaeology); Psychology; Spatial contextual awareness; Stroke (engine); Physical medicine and rehabilitation; Computer science; Medicine; Human–computer interaction; Artificial intelligence; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000539174,0.0001726731,0.0002101539,0.00004521586,0.0001501848,0.00004741482,0.0001637056,0.00006679023,0.000120998],"category_scores_gemma":[0.00005640984,0.0001164265,0.000142024,0.0002848471,0.00009378292,0.00009701847,0.00002345259,0.00004821028,0.00002474039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006508592,"about_ca_system_score_gemma":0.00004400144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008008688,"about_ca_topic_score_gemma":0.00091647,"domain_scores_codex":[0.9988047,0.00006916599,0.000227977,0.0003547606,0.0002278418,0.0003155072],"domain_scores_gemma":[0.9991397,0.0002384775,0.0001065045,0.000410345,0.00003770208,0.00006730577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001984358,0.0005372099,0.001499694,0.00004436555,0.00004263705,0.00001152677,0.002044825,0.0002036433,0.4636869,0.00004329606,0.001851666,0.5280499],"study_design_scores_gemma":[0.00365192,0.006551074,0.1985459,0.00003102633,0.0001347635,0.000009939533,0.0004199542,0.0337899,0.574302,0.0004602174,0.1816361,0.0004672166],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958597,0.00005545643,0.000962565,0.000468104,0.0006313292,0.001329569,0.0001011397,0.0002676963,0.0003244668],"genre_scores_gemma":[0.9954252,0.0002671766,0.00003776588,0.0001474695,0.0002872435,0.001075013,0.00001936244,0.00002830087,0.00271242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5275827,"threshold_uncertainty_score":0.4747734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03258717195313047,"score_gpt":0.3096872997212272,"score_spread":0.2771001277680967,"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."}}