{"id":"W2344763556","doi":"10.3109/17483107.2016.1167970","title":"Using assistive robots to promote inclusive education","year":2016,"lang":"en","type":"article","venue":"Disability and Rehabilitation Assistive Technology","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Glenrose Rehabilitation Hospital; University of Alberta","funders":"","keywords":"Augmentative and alternative communication; Inclusion (mineral); Assistive technology; Class (philosophy); Augmentative; Psychology; Multiple disabilities; Intervention (counseling); Resource (disambiguation); Special education; Special needs; Computer science; Multimedia; Medical education; Human–computer interaction; Mathematics education; Developmental psychology; Medicine; Artificial intelligence","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":["metaresearch","metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001341315,0.0003342459,0.0005377263,0.0004263514,0.001326343,0.000008734542,0.0004319313,0.0007834041,0.0002475465],"category_scores_gemma":[0.009105317,0.000245727,0.0001018861,0.001018195,0.003033768,0.0002337927,0.0008469714,0.0006490815,0.0001603228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696481,"about_ca_system_score_gemma":0.0005764731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001292482,"about_ca_topic_score_gemma":0.0003387323,"domain_scores_codex":[0.9963488,0.0009498298,0.0009066378,0.0009996349,0.0002314937,0.0005636003],"domain_scores_gemma":[0.9945238,0.002476213,0.0004195417,0.001309291,0.001051226,0.0002199005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001353083,0.0005090313,0.8489946,0.00008850941,0.00003392347,2.651653e-7,0.0002938573,0.000001014883,0.005382206,0.02374664,0.0005731643,0.1202415],"study_design_scores_gemma":[0.0006322617,0.0003777452,0.9646841,0.0004093257,0.00004105909,0.000003275315,0.005343139,0.00002900328,0.0002114702,0.01092653,0.01700685,0.0003352073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9068932,0.00009052307,0.01543806,0.0710508,0.0004267292,0.002601434,0.00008472183,0.0006915441,0.002722961],"genre_scores_gemma":[0.9512415,0.00001585784,0.04631088,0.0005873133,0.00006200075,0.001303767,0.00001171254,0.00003040992,0.0004365428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1199063,"threshold_uncertainty_score":0.9999995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04426126122892848,"score_gpt":0.4446479274718199,"score_spread":0.4003866662428914,"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."}}