{"id":"W4413326583","doi":"10.1177/2327857925141007","title":"HIMMS Stage 5… but still using paper? A human-centered workflow approach to assessing digital maturity","year":2025,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thinkpath Engineering Services (Canada); Sinai Health System","funders":"","keywords":"Workflow; Stage (stratigraphy); Maturity (psychological); Computer science; Psychology; Biology; Database; Developmental psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004944673,0.0001876622,0.0002330946,0.0003055345,0.0002811692,0.003341326,0.002135366,0.00005399227,0.000001384267],"category_scores_gemma":[0.0001298699,0.000154493,0.00006417089,0.0002569987,0.00005638657,0.006934704,0.001729804,0.0003099992,3.074821e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007932252,"about_ca_system_score_gemma":0.0000851197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005509189,"about_ca_topic_score_gemma":0.00003793187,"domain_scores_codex":[0.9982118,0.00001517494,0.0004987486,0.0005615663,0.0004021613,0.0003105454],"domain_scores_gemma":[0.9990292,0.00008288101,0.0003488029,0.0002653924,0.0001766679,0.00009711461],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002207906,0.0006365862,0.2537956,0.001921904,0.0001688156,0.000001373909,0.005575287,0.001377972,0.01110125,0.7224047,0.0004994227,0.002296301],"study_design_scores_gemma":[0.005269724,0.0009750864,0.8488815,0.007286775,0.00005283377,0.00001101252,0.02668647,0.03776542,0.01603123,0.00891493,0.04570957,0.002415375],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918956,0.0000463225,0.0007562308,0.001372506,0.0003594767,0.0004795421,0.00005168833,0.0000303324,0.005008268],"genre_scores_gemma":[0.9973294,0.00004035509,0.001876978,0.0004294812,0.00004086627,0.0000147477,0.00001625794,0.00001089735,0.0002410503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7134898,"threshold_uncertainty_score":0.9976933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08984995107042952,"score_gpt":0.3730068386926894,"score_spread":0.2831568876222598,"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."}}