{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001934221,0.0006939893,0.0004443435,0.0008861907,0.0002267087,0.0006236893,0.0002851673,0.0005625895,0.002045615],"category_scores_gemma":[0.009826867,0.00009078101,0.0005096068,0.0003801918,0.0001402865,0.0005575292,0.0005949997,0.0002477589,0.001037542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001879608,"about_ca_system_score_gemma":0.0001885724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001647389,"about_ca_topic_score_gemma":0.003373685,"domain_scores_codex":[0.9987988,0.000326069,0.0002130293,0.0001698492,0.0003945754,0.00009760346],"domain_scores_gemma":[0.9938272,0.00190669,0.001004048,0.0002558809,0.002377876,0.0006283222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006660806,0.001992469,0.6668437,0.0007119405,0.0004466771,0.000322663,0.003864232,0.002523482,0.03123474,0.0002027885,0.003748335,0.2814482],"study_design_scores_gemma":[0.00006943869,0.007872398,0.9726977,0.00005966475,0.0001565521,0.0005224139,0.0009800923,0.007117435,0.008429383,0.0001203554,0.00191528,0.00005923488],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994275,0.0002810037,0.002667943,0.00003255347,0.00002044938,0.0001046001,0.0006664648,0.00009262862,0.001859282],"genre_scores_gemma":[0.9926888,0.0002070883,0.00382291,0.00003524188,0.00001800511,0.000141632,0.001422223,0.00002436047,0.001639809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002045615,"threshold_uncertainty_score":0.01022923,"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."}}