{"id":"W3006330996","doi":"10.1016/j.apmr.2020.01.008","title":"Evaluation Tools for Assistive Technologies: A Scoping Review","year":2020,"lang":"en","type":"review","venue":"Archives of Physical Medicine and Rehabilitation","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; GF Strong Rehabilitation Centre","funders":"AGE-WELL","keywords":"PsycINFO; CINAHL; Computer science; Data extraction; MEDLINE; Construct (python library); Conceptual framework; Data science; International Classification of Functioning, Disability and Health; Information retrieval; Applied psychology; Rehabilitation; Psychology","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":[0.0416554,0.002575431,0.01193393,0.02268398,0.001371637,0.008504231,0.004241895,0.004622227,0.005770891],"category_scores_gemma":[0.1044014,0.001713547,0.008653757,0.01685652,0.002431963,0.006633335,0.004347184,0.003023763,0.0008333752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006629242,"about_ca_system_score_gemma":0.02213746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01058219,"about_ca_topic_score_gemma":0.02290814,"domain_scores_codex":[0.9753794,0.008533188,0.009124941,0.001384213,0.005076141,0.0005020889],"domain_scores_gemma":[0.9136281,0.06922091,0.008605427,0.00110338,0.006930079,0.0005120526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001707176,0.00006362225,0.0004039553,0.7371674,0.002719457,0.00008107648,0.0003828539,0.000200324,0.0002276934,0.001307055,0.003700414,0.2535754],"study_design_scores_gemma":[0.00009962973,0.00009612076,0.0009435309,0.9464582,0.01131179,0.0001846657,0.000321955,0.0001288445,0.0001535379,0.0009611861,0.03929551,0.00004503376],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001429101,0.9984371,0.000385779,0.0002023024,0.0001114557,0.000333998,0.0001263855,0.00001031896,0.0002497517],"genre_scores_gemma":[0.002441594,0.9938671,0.002354304,0.0002871393,0.00006170818,0.0006660891,0.000174292,0.00000990683,0.0001379102],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0416554,"threshold_uncertainty_score":0.2202974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2291117953699638,"score_gpt":0.5599133006115398,"score_spread":0.330801505241576,"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."}}