{"id":"W1977810112","doi":"10.1145/2674396.2674452","title":"Innovative medical applications and beyond of 3D techniques in a responsive virtual reality lab","year":2014,"lang":"en","type":"article","venue":"","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Virtual reality; Computer science; Human–computer interaction; Rehabilitation; Function (biology); Cognition; Computer graphics; Multimedia; Psychology; Artificial intelligence","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":[0.00446432,0.0007905538,0.0004756031,0.001321777,0.000787179,0.005170941,0.001855447,0.001990678,0.01265421],"category_scores_gemma":[0.003636132,0.0004673354,0.001241286,0.0005173654,0.002635866,0.002815616,0.00564946,0.001738893,0.002143431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004296301,"about_ca_system_score_gemma":0.0007491719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002203335,"about_ca_topic_score_gemma":0.0002372694,"domain_scores_codex":[0.9969394,0.001863077,0.0001084546,0.0002572372,0.0006597682,0.0001719271],"domain_scores_gemma":[0.9974639,0.001384792,0.000119211,0.0005198536,0.000199213,0.0003129341],"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":[0.0007603816,0.0008155292,0.002902665,0.001948339,0.0001600113,0.002776881,0.01536635,0.01183589,0.2190812,0.1108289,0.008452602,0.6250713],"study_design_scores_gemma":[0.0003172321,0.004840269,0.00988613,0.00192147,0.0002636111,0.01917618,0.00914423,0.03065015,0.08691982,0.129769,0.7063908,0.0007210938],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08329312,0.02355343,0.7804103,0.009002186,0.001634196,0.0004967024,0.0002562696,0.00178471,0.09956903],"genre_scores_gemma":[0.4782431,0.01392687,0.4786755,0.003166929,0.001128722,0.0006882361,0.0001705523,0.0004448042,0.02355536],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01265421,"threshold_uncertainty_score":0.04233259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170512894347226,"score_gpt":0.3221025854693503,"score_spread":0.3103974565258781,"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."}}