{"id":"W2346095395","doi":"10.3109/17483107.2016.1151954","title":"Performing mathematics activities with non-standard units of measurement using robots controlled via speech-generating devices: three case studies","year":2016,"lang":"en","type":"article","venue":"Disability and Rehabilitation Assistive Technology","topic":"Assistive Technology in Communication and Mobility","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Glenrose Rehabilitation Hospital","funders":"Glenrose Rehabilitation Hospital Foundation","keywords":"Robot; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003078375,0.0003260761,0.001077572,0.0002427376,0.001165027,0.000005571043,0.0002094273,0.0004375158,0.00003426665],"category_scores_gemma":[0.006485583,0.0001973771,0.00008308537,0.0005971892,0.004738259,0.0002099624,0.0002984738,0.0004971423,0.000002121182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009314744,"about_ca_system_score_gemma":0.0003019953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007403832,"about_ca_topic_score_gemma":0.003726605,"domain_scores_codex":[0.9969847,0.000591925,0.001149358,0.0005267087,0.0003486911,0.0003985875],"domain_scores_gemma":[0.9910294,0.005010395,0.0009132283,0.0009064613,0.002071709,0.00006881277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006963687,0.0003574998,0.9511133,0.001158759,0.0004105035,0.000008213363,0.001511129,0.00001458686,0.007304107,0.00281922,0.00001419899,0.03459215],"study_design_scores_gemma":[0.03070555,0.006486979,0.4467875,0.009792428,0.001616139,0.0004921252,0.4680014,0.009193014,0.00791799,0.0164256,0.0003527118,0.002228535],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9482228,0.0002631681,0.04639312,0.002601071,0.00009716804,0.001999715,0.00004283403,0.0002271752,0.000152917],"genre_scores_gemma":[0.9258004,0.00002178133,0.07356086,0.00002928554,0.00001821008,0.0005283069,0.000001828507,0.00002280165,0.00001649844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5043257,"threshold_uncertainty_score":0.9979703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09979127138754472,"score_gpt":0.4021022687742658,"score_spread":0.3023109973867211,"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."}}