{"id":"W2611740235","doi":"10.1145/3025453.3025603","title":"Comparing Touchscreen and Mouse Input Performance by People With and Without Upper Body Motor Impairments","year":2017,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Science Foundation","keywords":"Touchscreen; Computer science; Spurious relationship; Physical medicine and rehabilitation; Human–computer interaction; Tapping; Audiology; Psychology; Medicine; Engineering; Machine learning","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":[0.00001939921,0.0001218153,0.0001417652,0.00003595179,0.0006702085,0.0002947408,0.0001408271,0.00002796043,0.00004457198],"category_scores_gemma":[0.00004912682,0.00008996901,0.00001277314,0.00001996301,0.0001037546,0.0008092321,0.00009938767,0.0001204902,0.00002047802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001246992,"about_ca_system_score_gemma":0.00001061148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000371566,"about_ca_topic_score_gemma":0.0002328085,"domain_scores_codex":[0.999279,0.00001643536,0.00009664265,0.000283958,0.0001269026,0.0001970531],"domain_scores_gemma":[0.9994477,0.00003893992,0.00007900356,0.0003095268,0.00001620224,0.0001086215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000972953,0.00004665343,0.8156386,0.00001179685,0.000006065603,0.00000167195,0.0002598038,0.000001517308,0.1832666,0.00002562962,0.0004560429,0.0001883047],"study_design_scores_gemma":[0.001309328,0.0004456143,0.6716943,0.00003772596,0.00002109075,0.0002026641,0.0002397737,0.01457231,0.3081089,0.000003862223,0.003054216,0.0003101967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904831,0.000002493528,0.00004641045,0.0001748643,0.00004867868,0.0001681432,0.00001090927,0.00005225061,0.009013144],"genre_scores_gemma":[0.9884882,0.00006840398,0.0001068807,0.0002366719,0.00002153709,0.00001135613,9.787836e-7,0.00001308894,0.01105291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1439443,"threshold_uncertainty_score":0.515477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02649703004488556,"score_gpt":0.2738890116341025,"score_spread":0.2473919815892169,"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."}}