{"id":"W2941186397","doi":"10.3233/978-1-61499-951-5-236","title":"Development of a Video Coding Scheme Focused on Socio-Technical Aspects of Human-Computer Interaction in Healthcare","year":2019,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Technology Use by Older Adults","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Usability; Coding (social sciences); Computer science; Health care; Scheme (mathematics); Usability engineering; Data science; Knowledge management; Human–computer interaction","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":[0.0245004,0.0009983449,0.0004931545,0.00661466,0.002236362,0.001887237,0.001440225,0.0009102369,0.003172096],"category_scores_gemma":[0.06161427,0.0004926261,0.0005954792,0.003206434,0.002565967,0.002483448,0.002389076,0.001813769,0.001044315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004849709,"about_ca_system_score_gemma":0.009212368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01278268,"about_ca_topic_score_gemma":0.01522981,"domain_scores_codex":[0.9856567,0.008928083,0.001675622,0.0007780906,0.002474067,0.0004873401],"domain_scores_gemma":[0.9281846,0.02157585,0.003918232,0.004527446,0.04052661,0.001267277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008580842,0.0004152535,0.01530025,0.00225114,0.00002957082,0.0006270428,0.09776586,0.004528799,0.06013484,0.0531667,0.01289818,0.7520244],"study_design_scores_gemma":[0.0006936821,0.00410765,0.1006723,0.007248435,0.0002510669,0.002456903,0.1681298,0.09582424,0.1521553,0.05798654,0.409398,0.001076118],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08649364,0.0003316637,0.8707044,0.002050872,0.0006452933,0.02119773,0.001255681,0.0005740995,0.01674664],"genre_scores_gemma":[0.09482051,0.0003958532,0.8731235,0.0002656916,0.00007850114,0.02625879,0.0008446762,0.0001735415,0.004038976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0245004,"threshold_uncertainty_score":0.129572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06065888019161102,"score_gpt":0.3935736583107041,"score_spread":0.3329147781190931,"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."}}