{"id":"W2264380431","doi":"10.1145/2809904.2809913","title":"PERFORMANCE EVALUATION FOR TOUCH-BASED INTERACTION OF OLDER ADULTS","year":2015,"lang":"en","type":"article","venue":"ACM SIGACCESS Accessibility and Computing","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Selection (genetic algorithm); Computer science; Human–computer interaction; Older people; Work (physics); Psychology; Applied psychology; Cognitive psychology; Artificial intelligence; Gerontology; 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":[0.0003559926,0.0001286032,0.0001844889,0.0001050812,0.0002023247,0.0001074951,0.0003364506,0.00006156625,0.00002813146],"category_scores_gemma":[0.00295545,0.0001178098,0.00005716575,0.000228341,0.00007068861,0.0009446621,0.0001236622,0.0001403941,0.000002530062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005983775,"about_ca_system_score_gemma":0.00009264691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007005216,"about_ca_topic_score_gemma":0.00001786383,"domain_scores_codex":[0.9985182,0.0001394767,0.0004050067,0.0004461058,0.0003055454,0.0001856257],"domain_scores_gemma":[0.9978585,0.001001673,0.0003197067,0.0003615355,0.0003765434,0.00008205495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001690193,0.0007804268,0.08857539,0.000603288,0.00001851535,0.00000136794,0.00507911,0.01697387,0.02490185,0.0001151238,0.0002237531,0.8610371],"study_design_scores_gemma":[0.001287691,0.0001374787,0.02469862,0.000164807,0.00002501642,0.000004025587,0.0006445124,0.6565617,0.3160299,0.0002584136,0.00005221034,0.0001356323],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951478,0.00001162422,0.002930735,0.0001627201,0.0005786504,0.0005746142,0.000006976176,0.00005302033,0.0005339004],"genre_scores_gemma":[0.9990803,0.000002426091,0.0005617992,0.0001954889,0.0001005419,0.00003082024,0.000007431264,0.000009929015,0.0000112607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8609015,"threshold_uncertainty_score":0.4804146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1216844378609882,"score_gpt":0.3838450673531307,"score_spread":0.2621606294921425,"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."}}