{"id":"W2528787676","doi":"10.1089/tmj.2016.0129","title":"Telerehabilitation in Stroke Recovery: A Survey on Access and Willingness to Use Low-Cost Consumer Technologies","year":2016,"lang":"en","type":"article","venue":"Telemedicine Journal and e-Health","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Vancouver Coastal Health; Vancouver Coastal Health Research Institute; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Telerehabilitation; Landline; Rehabilitation; Telemedicine; Telehealth; Medicine; Stroke (engine); Phone; Sample (material); Descriptive statistics; Physical therapy; Health care; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002056815,0.0001905444,0.0005896332,0.0006208515,0.0001295207,0.00005050709,0.00008221294,0.00009753391,0.00003504804],"category_scores_gemma":[0.002654417,0.000107471,0.0000462903,0.0003473138,0.0001724145,0.0002786088,0.00004687544,0.0003601064,0.000006731725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002660287,"about_ca_system_score_gemma":0.0002877789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005511366,"about_ca_topic_score_gemma":0.0006389134,"domain_scores_codex":[0.998123,0.0001799111,0.0006611759,0.000315719,0.0003266643,0.0003934723],"domain_scores_gemma":[0.9978696,0.001173873,0.0002296735,0.0001854842,0.0001768104,0.0003645522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000388745,0.00007646259,0.6020896,0.000105091,0.00001712588,0.000005790377,0.0002005314,0.000001147203,0.0002182564,0.00001525872,0.005209898,0.3916721],"study_design_scores_gemma":[0.003105842,0.002414828,0.9871433,0.002193472,0.000008197213,0.0001090561,0.0006074354,0.000006281787,0.00006712004,0.0001826626,0.004042489,0.000119309],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9392119,0.0007996427,0.0006379313,0.05810324,0.0003398971,0.0007774477,0.00005037175,0.00005126524,0.00002831386],"genre_scores_gemma":[0.9871302,0.008907545,0.0007297145,0.002909742,0.0000915073,0.00001904939,0.000004535697,0.00001858859,0.0001891322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3915527,"threshold_uncertainty_score":0.4382539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06298219566891684,"score_gpt":0.3656396601529983,"score_spread":0.3026574644840814,"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."}}