{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005759493,0.0001309768,0.0002286405,0.00007174427,0.0003091332,0.00005924612,0.00006809771,0.0001328505,7.264821e-7],"category_scores_gemma":[0.00008310332,0.0001231641,0.0000143238,0.0001887683,0.0001519052,0.00005970737,0.00005896326,0.0002137477,5.170242e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003679829,"about_ca_system_score_gemma":0.000003290234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001476852,"about_ca_topic_score_gemma":0.0001493346,"domain_scores_codex":[0.9992396,0.00007436515,0.000246894,0.0002054727,0.0000546731,0.0001789632],"domain_scores_gemma":[0.9994523,0.0001028533,0.00004301496,0.0003396719,0.00002537224,0.00003680072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001380489,0.0003276513,0.5518049,0.0003162931,0.0001187875,0.0000923358,0.002273357,0.1997797,0.006403006,0.00188384,0.000002199721,0.2369841],"study_design_scores_gemma":[0.0005581183,0.000100664,0.001200489,0.00007414554,0.00003341066,0.0004071971,0.004925836,0.9919482,0.0003087061,0.0002663661,0.0000112672,0.0001655421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994067,0.0004274425,0.004459568,0.0000467649,0.00003708115,0.0004025567,5.77357e-7,0.000511684,0.00004737456],"genre_scores_gemma":[0.9899722,0.000003110504,0.009956433,0.000007176086,0.00001860369,0.00002637633,8.916908e-7,0.00001444576,7.668745e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7921686,"threshold_uncertainty_score":0.5022485,"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."}}