{"id":"W2905171864","doi":"10.2196/12089","title":"Mobility and Participation of People With Disabilities Using Mobility Assistive Technologies: Protocol for a Mixed-Methods Study","year":2018,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health Research Institute; Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Vancouver Coastal Health; University of British Columbia, Okanagan Campus; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; GF Strong Rehabilitation Centre; Simon Fraser University; Institut Universitaire de Gériatrie de Montréal; University of British Columbia; Université de Montréal; Université Laval; Centre for Interdisciplinary Research in Rehabilitation","funders":"Social Sciences and Humanities Research Council of Canada; University of British Columbia","keywords":"Protocol (science); Assistive technology; Computer science; Psychology; Applied psychology; Gerontology; Human–computer interaction; Medicine; Alternative medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.01299401,0.0002494099,0.0005980923,0.0002377234,0.001696022,0.00002278901,0.0006727784,0.000402619,0.0001181998],"category_scores_gemma":[0.008636447,0.0001814394,0.00005827355,0.0009221247,0.003965488,0.0002129817,0.001214377,0.001164042,0.000005736938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000456511,"about_ca_system_score_gemma":0.0007554343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002207692,"about_ca_topic_score_gemma":0.001108987,"domain_scores_codex":[0.9912562,0.005659726,0.0009861608,0.000801477,0.0004998831,0.0007965387],"domain_scores_gemma":[0.988569,0.005836171,0.0004506373,0.002121656,0.00291391,0.0001086905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00378025,0.006245016,0.9606217,0.002825691,0.0000532758,1.693773e-7,0.005389811,6.680608e-7,0.001142367,0.001087289,0.0005145819,0.0183392],"study_design_scores_gemma":[0.006032588,0.01304827,0.836108,0.0016622,0.00001409245,7.741363e-7,0.1143399,0.001078093,0.005644231,0.006821333,0.01491231,0.0003382277],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.1789507,5.149187e-7,0.006346617,0.0002251421,0.000005417645,0.813799,0.00003616861,0.0002910857,0.0003453011],"genre_scores_gemma":[0.2916208,3.936924e-8,0.0163254,0.00000542106,0.00002144143,0.69195,0.000001942812,0.00002084275,0.00005420801],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1245137,"threshold_uncertainty_score":0.9997143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.529937271672041,"score_gpt":0.7067797054080492,"score_spread":0.1768424337360083,"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."}}