{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04034851,0.00236245,0.003097813,0.004598338,0.00482757,0.01552669,0.005559995,0.02173243,0.003823364],"category_scores_gemma":[0.139056,0.001340878,0.002448572,0.002779586,0.01713856,0.008438594,0.003444331,0.0338239,0.002630414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006119987,"about_ca_system_score_gemma":0.006001254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003522381,"about_ca_topic_score_gemma":0.007718439,"domain_scores_codex":[0.9501572,0.02185833,0.006071223,0.00280695,0.0183352,0.0007711403],"domain_scores_gemma":[0.63689,0.3220201,0.005399191,0.004968038,0.02766568,0.003057067],"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":[0.00008305848,0.00002913523,0.0001747844,0.003390701,0.0001477468,0.000448914,0.001495547,0.0001792305,0.0001711912,0.01445997,0.8877059,0.09171379],"study_design_scores_gemma":[0.00006194057,0.00006874981,0.0004812189,0.005533047,0.0001648207,0.0007493276,0.001100123,0.0004352828,0.0002572137,0.02230603,0.9687525,0.00008979357],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001900853,0.1346111,0.003204179,0.2165784,0.6424505,0.00004278315,0.00003520593,0.0001002995,0.002787524],"genre_scores_gemma":[0.003748359,0.08453231,0.002372259,0.06907065,0.8359948,0.0001305305,0.00002316466,0.0000990745,0.004028969],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04034851,"threshold_uncertainty_score":0.2133859,"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."}}