{"id":"W2974145948","doi":"10.1136/bmjopen-2019-030149","title":"Measuring changes in device use of a head-mounted low vision aid after personalised telerehabilitation: protocol for a feasibility study","year":2019,"lang":"en","type":"article","venue":"BMJ Open","topic":"Ophthalmology and Visual Impairment Studies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre intégré de santé et de services sociaux de Chaudière-Appalaches; Centre Intégré de Santé et de Services Sociaux des Laurentides; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre de réadaptation Lethbridge-Layton-Mackay; Centre for Interdisciplinary Research in Rehabilitation","funders":"Mitacs","keywords":"Medicine; Telerehabilitation; Protocol (science); Physical medicine and rehabilitation; Head (geology); Medical physics; Telemedicine; Health care; Alternative medicine; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06979162,0.004576042,0.006193803,0.003063111,0.004075021,0.003270726,0.003991331,0.007893982,0.06445249],"category_scores_gemma":[0.04417726,0.003396835,0.005297503,0.00296149,0.00331061,0.003438231,0.003088775,0.007157148,0.01804497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005852285,"about_ca_system_score_gemma":0.02102571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003042364,"about_ca_topic_score_gemma":0.004813607,"domain_scores_codex":[0.9711159,0.01636966,0.005285406,0.001752782,0.002586738,0.002889454],"domain_scores_gemma":[0.9634691,0.01050495,0.005538336,0.004172475,0.01325936,0.003055759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"not_applicable","study_design_scores_codex":[0.3504709,0.1178983,0.006649195,0.1142321,0.001519976,0.00303718,0.01196487,0.008244671,0.02220743,0.01250445,0.06977089,0.2815],"study_design_scores_gemma":[0.3474694,0.2062036,0.03875199,0.03185215,0.001185401,0.000760321,0.005715597,0.005967404,0.01199911,0.009114186,0.3400129,0.00096795],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0006931222,0.0000443058,0.0007213815,0.00004574135,0.00005965962,0.9979033,0.0001899899,0.00001844863,0.0003239849],"genre_scores_gemma":[0.0004809993,0.00004183592,0.001294552,0.00003776844,0.0000110163,0.9979684,0.00004467491,0.000001796248,0.0001188775],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.06979162,"threshold_uncertainty_score":0.3690978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2899507577199426,"score_gpt":0.5417843525273767,"score_spread":0.2518335948074341,"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."}}