{"id":"W1995949108","doi":"10.3109/17483107.2011.625072","title":"Driving performance in a power wheelchair simulator","year":2011,"lang":"en","type":"article","venue":"Disability and Rehabilitation Assistive Technology","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Interdisciplinary Research in Rehabilitation; McGill University","funders":"","keywords":"Wheelchair; Joystick; Driving simulator; Simulation; Task (project management); Computer science; Virtual reality; Power (physics); Engineering; Human–computer interaction","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":[0.0005412591,0.0002105803,0.0003150958,0.0003984525,0.0001410338,0.0000216459,0.0005190714,0.0003084734,0.00002200933],"category_scores_gemma":[0.0008036249,0.0001940864,0.00006027353,0.001024726,0.001682191,0.0003914835,0.0002999497,0.0003929022,0.00002070607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001399752,"about_ca_system_score_gemma":0.00003507152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002120732,"about_ca_topic_score_gemma":0.00006910404,"domain_scores_codex":[0.9981969,0.0001148115,0.0004140938,0.0007608427,0.0001358343,0.0003775468],"domain_scores_gemma":[0.9986136,0.0003884326,0.0001189636,0.000697922,0.0001172534,0.00006380854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000120001,0.0003150291,0.8977128,0.00002532156,0.000007257645,0.000002468548,0.0004776172,0.00000473761,0.00009788744,0.07520245,0.000006090468,0.02613632],"study_design_scores_gemma":[0.0004025949,0.0005031233,0.9851931,0.00004922226,0.000003277862,0.000007893219,0.0005301068,0.002241103,0.0002504554,0.01033235,0.0002706912,0.0002160654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779636,0.00005424816,0.01659462,0.003121807,0.0001257251,0.0002790258,0.000001644758,0.0006833039,0.001175984],"genre_scores_gemma":[0.969828,0.000005999845,0.03000313,0.00004185474,0.0000044171,0.00008995462,7.463912e-7,0.000009200166,0.00001667174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08748029,"threshold_uncertainty_score":0.7914615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110002420803172,"score_gpt":0.2368037322378662,"score_spread":0.2257037080298345,"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."}}