{"id":"W4408323381","doi":"10.2196/66472","title":"Wheelchair Servicing for Older Adults: Cross-Sectional Study","year":2025,"lang":"en","type":"article","venue":"JMIR Rehabilitation and Assistive Technologies","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Wheelchair; Cross-sectional study; Psychology; Medicine; Computer science; World Wide Web","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.00110429,0.00021956,0.0003315704,0.0004103027,0.001497868,0.00002446699,0.0003747201,0.0005054357,0.00003963415],"category_scores_gemma":[0.003444249,0.0001919317,0.00008793955,0.0005213848,0.000719813,0.0001511631,0.0004597661,0.0006969079,0.00001487355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002937822,"about_ca_system_score_gemma":0.0001224631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000552993,"about_ca_topic_score_gemma":0.0002094418,"domain_scores_codex":[0.9978846,0.0002835587,0.0007324126,0.0006316561,0.0001383951,0.0003293518],"domain_scores_gemma":[0.9944936,0.003684871,0.0002667272,0.0007478368,0.0007800116,0.00002696322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002225346,0.000412769,0.9636161,0.0003292409,0.00004535421,1.617745e-7,0.00107549,8.070833e-7,0.00003356306,0.01276365,0.001248372,0.02025201],"study_design_scores_gemma":[0.002188191,0.0003059525,0.9169875,0.0002112931,0.00001335485,1.970229e-7,0.07142867,0.000121598,0.00001960273,0.005720943,0.002850235,0.0001524777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772955,0.0002240215,0.004886338,0.007073335,0.0002961432,0.006190535,0.00005489026,0.002228004,0.001751204],"genre_scores_gemma":[0.9834488,0.00001300852,0.005158133,0.0002331546,0.00001416533,0.01009162,0.0000239745,0.00001419693,0.001002958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07035318,"threshold_uncertainty_score":0.9998021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03700331935424203,"score_gpt":0.4443748246184123,"score_spread":0.4073715052641703,"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."}}