{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006482808,0.0001698378,0.0003724702,0.0002659687,0.0001573851,0.000004877275,0.0001951382,0.0002499674,0.0001245322],"category_scores_gemma":[0.00174505,0.0001608617,0.0001170222,0.0006226015,0.002286944,0.00005982531,0.00009846087,0.000192215,0.00002249874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005677575,"about_ca_system_score_gemma":0.00004196392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008827964,"about_ca_topic_score_gemma":0.00009574938,"domain_scores_codex":[0.9982502,0.0003328185,0.000448238,0.0005880713,0.0001308068,0.000249839],"domain_scores_gemma":[0.9977616,0.00137253,0.0001417782,0.0004935773,0.0001454403,0.00008506775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005155247,0.0006244375,0.8742578,0.00005384359,0.00007882786,0.000001278205,0.001825645,0.000002483746,0.0005974044,0.07903756,0.0004188855,0.04258629],"study_design_scores_gemma":[0.0005459412,0.0008280713,0.9865569,0.00001660112,0.00002233171,0.00001022716,0.004463936,0.000004859545,0.00006113535,0.00334846,0.003973496,0.0001680061],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803157,0.0001848173,0.009385533,0.006941776,0.0001611429,0.0005251764,0.0001159142,0.0001092059,0.002260681],"genre_scores_gemma":[0.9562641,0.000007445212,0.04314896,0.0001037965,0.00001129958,0.0002369758,0.000007983712,0.00001392837,0.0002054523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1122991,"threshold_uncertainty_score":0.842634,"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."}}