{"id":"W1991473896","doi":"10.1080/17483100701273128","title":"Individual responses to a method of cursor assistance","year":2008,"lang":"en","type":"article","venue":"Disability and Rehabilitation Assistive Technology","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cursor (databases); Computer science; Task (project management); Speech recognition; Audiology; Filter (signal processing); Computer mouse; Simulation; Artificial intelligence; Computer vision; Human–computer interaction; Medicine; Engineering","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":[0.001169549,0.0005828325,0.0003035094,0.0002655392,0.0001150539,0.0003357146,0.0002802572,0.0004580358,0.001572178],"category_scores_gemma":[0.009973207,0.0001186858,0.0002216859,0.0001310628,0.0002127871,0.0002154846,0.0004691162,0.0002762682,0.0002897423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001211664,"about_ca_system_score_gemma":0.000134564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002865709,"about_ca_topic_score_gemma":0.0003849421,"domain_scores_codex":[0.9984424,0.0005041312,0.0001905194,0.0002796635,0.0004917887,0.00009150449],"domain_scores_gemma":[0.9934618,0.002804171,0.001314112,0.0008198834,0.001310524,0.000289519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005127908,0.0008000384,0.2601008,0.0008619255,0.0005066475,0.0006173484,0.003154051,0.001612021,0.5501417,0.0001046709,0.00067839,0.1762946],"study_design_scores_gemma":[0.0001232579,0.01129201,0.9094732,0.00007903401,0.0002294532,0.002331666,0.001397683,0.003644943,0.06837724,0.0001023646,0.002857254,0.00009179497],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995021,0.000116547,0.003979358,0.00001607066,0.00001447133,0.00008631709,0.00005714523,0.00007646914,0.0006326897],"genre_scores_gemma":[0.9945284,0.00007656821,0.004441085,0.00003040298,0.00001061449,0.00008807561,0.00009276937,0.00002301142,0.0007090904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001572178,"threshold_uncertainty_score":0.006185234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02200374416015984,"score_gpt":0.3478557149190762,"score_spread":0.3258519707589164,"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."}}