{"id":"W4414326508","doi":"10.1177/20556683251369866","title":"Assessing women veterans’ satisfaction with mobility devices","year":2025,"lang":"en","type":"article","venue":"Journal of Rehabilitation and Assistive Technologies Engineering","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Veterans Affairs","keywords":"Usability; Thematic analysis; Service provider; Descriptive statistics; Service delivery framework; Service (business); Patient satisfaction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001267337,0.0001503682,0.0003509783,0.0004859157,0.0003159996,0.00002302513,0.0001826055,0.0002381011,0.0000128552],"category_scores_gemma":[0.002946283,0.0001142531,0.0000455983,0.0004984858,0.0002829193,0.000392536,0.0001071268,0.0009169637,0.00000106493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005548373,"about_ca_system_score_gemma":0.00015578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001817844,"about_ca_topic_score_gemma":0.00004939239,"domain_scores_codex":[0.998678,0.0001660263,0.0006088321,0.0001813962,0.000136783,0.0002289315],"domain_scores_gemma":[0.9963865,0.002339473,0.0004201013,0.0003143183,0.0005048859,0.00003466812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001051777,0.00006192496,0.9052468,0.0003804488,0.00009900681,0.000001554672,0.0005146204,0.0001429406,0.001815316,0.002652924,0.0001074612,0.08887185],"study_design_scores_gemma":[0.000673942,0.0002630653,0.9596316,0.0005528391,0.00002536302,0.000003682247,0.03491596,0.0004629489,0.0000692485,0.0005768625,0.002721681,0.0001027902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9231884,0.0003900985,0.07205387,0.003191622,0.0001794938,0.0002920058,0.000002388638,0.0003627905,0.0003393095],"genre_scores_gemma":[0.9610902,0.00005997465,0.03864914,0.00005200567,0.000009315007,0.0000995727,6.254213e-7,0.000008150529,0.00003101406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08876906,"threshold_uncertainty_score":0.4659107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02335834970248639,"score_gpt":0.3720400953230757,"score_spread":0.3486817456205893,"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."}}