{"id":"W4368240992","doi":"10.5267/j.msl.2023.4.004","title":"Voice-activated wheelchair: An affordable solution for individuals with physical disabilities","year":2023,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wheelchair; Raspberry pi; Computer science; Assistive technology; Speech synthesis; Software; Human–computer interaction; Disabled people; Arduino; Python (programming language); Voice command device; Embedded system; Speech recognition; Operating system; Internet of Things; World Wide Web; Psychology","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":[0.0006259943,0.0001458806,0.0001327514,0.0004075855,0.0005335925,0.0002955687,0.001361907,0.00002083548,0.000001147378],"category_scores_gemma":[0.00002773229,0.0001183773,0.00003711982,0.00196724,0.0006756206,0.001241579,0.0003540268,0.00008272174,0.00005091133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009026792,"about_ca_system_score_gemma":0.0000111454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001777489,"about_ca_topic_score_gemma":0.000004755883,"domain_scores_codex":[0.9980513,0.00002404058,0.000113386,0.0006832106,0.0004843085,0.0006437828],"domain_scores_gemma":[0.9991827,0.00006692957,0.0000633901,0.0005946365,0.00002441838,0.00006789579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005067059,0.000850392,0.06249491,0.000300045,0.0001805683,0.0000481093,0.007420667,0.008665909,0.2188667,0.5071766,0.02121895,0.1727266],"study_design_scores_gemma":[0.003191541,0.001840709,0.3584751,0.0002005423,0.00009280229,0.00001395212,0.004741771,0.5063553,0.06073742,0.03604298,0.02622048,0.002087392],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6860026,6.784492e-7,0.2996456,0.01260458,0.0001454412,0.0003450933,0.000002880191,0.0009776587,0.0002754679],"genre_scores_gemma":[0.9667527,6.351359e-7,0.03215057,0.0006886118,0.00003455407,0.0001602616,0.000006029981,0.000009008067,0.0001976517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4976894,"threshold_uncertainty_score":0.4827288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02195253575221101,"score_gpt":0.2684692214866219,"score_spread":0.2465166857344109,"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."}}