{"id":"W2894073351","doi":"10.1002/gch2.201870194","title":"Human‐Centered Design: Developing Evidence to Decision Frameworks and an Interactive Evidence to Decision Tool for Making and Using Decisions and Recommendations in Health Care (Global Challenges 9/2018)","year":2018,"lang":"en","type":"article","venue":"Global Challenges","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"","keywords":"Stakeholder; Health care; Context (archaeology); Knowledge management; Intervention (counseling); Management science; Psychology; Process management; Computer science; Business; Medicine; Nursing; Public relations; Political science; Engineering","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":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.004357572,0.0003837634,0.0006015528,0.0003350792,0.00200966,0.0001292957,0.0004440687,0.0003544224,0.00002124865],"category_scores_gemma":[0.01244025,0.0003776916,0.00003229116,0.0006467326,0.0001310812,0.001289637,0.0009072896,0.000437434,0.00001579626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002109747,"about_ca_system_score_gemma":0.0008480308,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004224136,"about_ca_topic_score_gemma":0.0190465,"domain_scores_codex":[0.9941829,0.001360233,0.001419392,0.001323434,0.0005380849,0.001175924],"domain_scores_gemma":[0.98926,0.008250565,0.000454796,0.0005623352,0.0007439242,0.0007284161],"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":[0.0007974827,0.00003985366,0.006860983,0.0005142813,0.00001562785,0.000003562623,0.07987957,0.00003505874,0.00003401521,0.004585835,0.001419851,0.9058139],"study_design_scores_gemma":[0.003792048,0.005271954,0.6493171,0.09006284,0.00005238462,0.00007548137,0.1854504,0.002188483,0.00002312323,0.03553611,0.02645097,0.001779133],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5757505,0.01056495,0.3377113,0.07006229,0.0009099631,0.004676506,0.0001807755,0.00009712395,0.00004655764],"genre_scores_gemma":[0.6757122,0.006735906,0.3078116,0.009236386,0.000227494,0.0002522255,0.000002105248,0.00002066544,0.000001493982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9040347,"threshold_uncertainty_score":0.9998675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7934483457858991,"score_gpt":0.7047736048853479,"score_spread":0.08867474090055116,"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."}}