{"id":"W2407724357","doi":"10.3233/978-1-61499-432-9-905","title":"Context Mediated Usability Testing","year":2014,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Usability; Usability engineering; Computer science; Web usability; Cognitive walkthrough; Context (archaeology); Usability inspection; Human–computer interaction; Pluralistic walkthrough; Usability lab; Usability goals; Heuristic evaluation; Component-based usability testing; Knowledge management","routes":{"ca_aff":true,"ca_fund":true,"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":[0.03984082,0.001896394,0.001322675,0.002938361,0.002576575,0.003765997,0.002241226,0.001845355,0.006946719],"category_scores_gemma":[0.129291,0.0008063171,0.001258997,0.00166117,0.001964904,0.003556935,0.005997029,0.001682709,0.001481165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002075392,"about_ca_system_score_gemma":0.003237669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001557257,"about_ca_topic_score_gemma":0.00239981,"domain_scores_codex":[0.8991982,0.07667706,0.005595692,0.006258191,0.00992859,0.002342251],"domain_scores_gemma":[0.8197913,0.1326531,0.004842413,0.01749462,0.02353806,0.001680379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002853536,0.004627557,0.05595223,0.01055059,0.000671313,0.001394243,0.1794755,0.004593634,0.0441566,0.03143604,0.00951676,0.654772],"study_design_scores_gemma":[0.004442479,0.04188085,0.2097989,0.01446842,0.002475873,0.003252203,0.1415779,0.05848629,0.1459372,0.09505413,0.2802671,0.002358761],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5755327,0.001831084,0.2922866,0.001186423,0.0006000737,0.037443,0.0008352603,0.002685624,0.08759917],"genre_scores_gemma":[0.7739502,0.0005188446,0.1855114,0.0007788324,0.00006541311,0.03239143,0.0004080459,0.0002906993,0.006085234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03984082,"threshold_uncertainty_score":0.2107009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.15193309238356,"score_gpt":0.4803537429060876,"score_spread":0.3284206505225276,"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."}}