{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008435618,0.0005937806,0.000243755,0.0007115443,0.0004790216,0.001006106,0.0006663132,0.0005670784,0.003236686],"category_scores_gemma":[0.002643488,0.0001509435,0.0003694788,0.0002654188,0.001009467,0.001057372,0.002402249,0.0004148299,0.0007707885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002885894,"about_ca_system_score_gemma":0.0006605731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000771838,"about_ca_topic_score_gemma":0.0008035054,"domain_scores_codex":[0.9991505,0.0002742055,0.00008209245,0.0001180742,0.0002598375,0.0001151879],"domain_scores_gemma":[0.9990212,0.0004416372,0.0001904667,0.0001106469,0.0001353184,0.0001008231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004297963,0.002710456,0.04372003,0.0031441,0.0001029931,0.001295131,0.01375421,0.002938537,0.05539462,0.008161766,0.003412712,0.8649358],"study_design_scores_gemma":[0.0006801399,0.0121616,0.3257847,0.004259584,0.0006498866,0.01439686,0.01831227,0.00960064,0.1701757,0.01315769,0.4305494,0.0002715405],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8955552,0.003586632,0.0625576,0.0007313271,0.0001153206,0.0006423311,0.0001390009,0.001339839,0.03533278],"genre_scores_gemma":[0.918894,0.002125648,0.07121068,0.0001840716,0.0000255299,0.0006956933,0.0001402611,0.00005265583,0.006671446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003236686,"threshold_uncertainty_score":0.01082778,"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."}}