{"id":"W4238714061","doi":"10.3233/tad-140404","title":"Programming and controlling robots using scanning on a speech generating communication device: A case study","year":2014,"lang":"en","type":"article","venue":"Technology and Disability","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Glenrose Rehabilitation Hospital; University of Alberta","funders":"","keywords":"Computer science; Robot; Speech recognition; Human–computer interaction; 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":[0.001343739,0.001936939,0.0006789517,0.001545059,0.006622874,0.002151564,0.003056542,0.006702466,0.006116262],"category_scores_gemma":[0.003959565,0.0008938139,0.001261498,0.0007912099,0.003955015,0.001762314,0.002510299,0.00367793,0.001750348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00169969,"about_ca_system_score_gemma":0.001275598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006494054,"about_ca_topic_score_gemma":0.01773152,"domain_scores_codex":[0.9983253,0.0005643305,0.0001322475,0.00026677,0.000335077,0.0003762465],"domain_scores_gemma":[0.9979455,0.0009153374,0.0002107907,0.0001467057,0.0001554433,0.0006262143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"case_report","study_design_scores_codex":[0.0004007382,0.01181989,0.0389673,0.0007014382,0.00009973864,0.7106844,0.1560522,0.002947976,0.009053627,0.005435241,0.006396198,0.05744125],"study_design_scores_gemma":[0.0001325555,0.00414048,0.03169301,0.0004675415,0.0001247345,0.7505856,0.143277,0.00924104,0.01825458,0.002690179,0.03907629,0.0003169584],"study_design_candidate":"case_report","study_design_consensus":"case_report","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844222,0.0003700755,0.005776287,0.0008665645,0.00004891942,0.0002257354,0.000114237,0.0001045315,0.008071505],"genre_scores_gemma":[0.9623539,0.001136598,0.01521267,0.0005853108,0.00004925723,0.0002254151,0.0001279111,0.0001389284,0.0201701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006702466,"threshold_uncertainty_score":0.02046096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02267936708732013,"score_gpt":0.2826458400036083,"score_spread":0.2599664729162882,"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."}}