{"id":"W2288231333","doi":"10.2196/humanfactors.4653","title":"Challenges and Paradoxes of Human Factors in Health Technology Design","year":2016,"lang":"en","type":"editorial","venue":"JMIR Human Factors","topic":"Persona Design and Applications","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; University Health Network","funders":"","keywords":"Usability; Perspective (graphical); Product (mathematics); Test (biology); Product design; Interpretation (philosophy); New product development; Risk analysis (engineering); Limiting; Health technology; Computer science; Preference; Psychology; Management science; Knowledge management; Medicine; Human–computer interaction; Health care; Engineering; Business; Marketing; Artificial intelligence; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004028491,0.00044207,0.0007879323,0.0009725075,0.0002101567,0.00005934195,0.001527216,0.0008092081,0.000008287011],"category_scores_gemma":[0.00007264884,0.0003488445,0.0000886535,0.0003083359,0.0002727598,0.0002213321,0.0002932672,0.0005962541,0.000005659357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001674926,"about_ca_system_score_gemma":0.0002277761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008846034,"about_ca_topic_score_gemma":0.0001367861,"domain_scores_codex":[0.9972718,0.0001729609,0.0006205405,0.0008927679,0.0005232028,0.0005186961],"domain_scores_gemma":[0.9977171,0.0005471091,0.0005614699,0.0009295753,0.00009135863,0.00015342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001480586,0.0009697463,0.002713357,0.001167178,0.0001811433,0.00001630269,0.02242878,0.000001286443,0.01054495,0.1960498,0.7364885,0.02942423],"study_design_scores_gemma":[0.003495515,0.003957979,0.04315833,0.002637678,0.0000351552,0.000004203952,0.00186092,0.00003451098,0.00717848,0.10832,0.8256512,0.003666098],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.2208866,0.03388304,0.04764881,0.008109258,0.665969,0.01401374,0.0009480801,0.004754651,0.003786916],"genre_scores_gemma":[0.9398875,0.002090915,0.001244195,0.00001761086,0.05542724,0.0004040258,0.00009296433,0.0001025827,0.0007329833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7190009,"threshold_uncertainty_score":0.9998963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07323433747603547,"score_gpt":0.349530818907216,"score_spread":0.2762964814311805,"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."}}