{"id":"W1582604746","doi":"10.1002/9780471740360.ebs1340","title":"Cognitive Assistive Technology","year":2006,"lang":"en","type":"other","venue":"Wiley Encyclopedia of Biomedical Engineering","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Assistive technology; Cognition; Field (mathematics); Computer science; Focus (optics); Key (lock); Human–computer interaction; Cognitive disabilities; Work (physics); Psychology; Engineering","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003033242,0.0003577444,0.0007474727,0.001142249,0.00009563191,0.000001143751,0.0005442033,0.002075779,0.001397584],"category_scores_gemma":[0.001210461,0.0003373069,0.0001036819,0.0007837675,0.0006875752,0.00001826578,0.0004235998,0.001762563,0.0002057022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000134512,"about_ca_system_score_gemma":0.000289735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002425214,"about_ca_topic_score_gemma":0.00009001086,"domain_scores_codex":[0.9979078,0.0001049067,0.000738713,0.0004265088,0.0003040686,0.0005179689],"domain_scores_gemma":[0.9978944,0.0006435016,0.0005352262,0.0006698228,0.0001272808,0.0001297354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001384235,0.0002443405,0.01071207,0.0007366443,0.0002140223,0.00001679608,0.00003747751,5.727121e-7,0.00006107517,0.001308614,0.9643455,0.02230908],"study_design_scores_gemma":[0.0006034232,0.00005906846,0.005094603,0.002592201,0.00007787575,0.000001462572,0.0001305609,0.00006075808,0.000007251359,0.00003838775,0.9910412,0.0002931502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001863847,0.002911804,0.01891388,0.0004785527,0.00130687,0.000992464,0.0005147606,0.001836637,0.9728587],"genre_scores_gemma":[0.02822462,0.008817593,0.02378685,0.0002951913,0.002142805,0.002283797,0.001765224,0.001618014,0.9310659],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04179273,"threshold_uncertainty_score":0.9999079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01563799153660253,"score_gpt":0.3371028508570217,"score_spread":0.3214648593204192,"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."}}