{"id":"W2329868580","doi":"10.1177/1460458214551846","title":"Boundary objects in clinical simulation and design of eHealth","year":2014,"lang":"en","type":"article","venue":"Health Informatics Journal","topic":"Persona Design and Applications","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"eHealth; Boundary (topology); Computer science; Human–computer interaction; Health care; Political science; Mathematics; Mathematical analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.004442032,0.00006221762,0.00019389,0.0001459355,0.0001678611,0.00008112656,0.0002210051,0.00004595481,0.000001198608],"category_scores_gemma":[0.0001259493,0.00005484599,0.00002309721,0.0002068262,0.00004248255,0.000459769,0.00003836626,0.0002823993,0.000005590885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004774904,"about_ca_system_score_gemma":0.0005429795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004786927,"about_ca_topic_score_gemma":0.000001933356,"domain_scores_codex":[0.9981328,0.0002225366,0.001180691,0.00005672272,0.000198281,0.0002089332],"domain_scores_gemma":[0.9985383,0.0004074126,0.0006184303,0.0001705415,0.00005143715,0.0002138841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002695165,0.0001518523,0.005045094,0.0002825045,0.00000881716,9.272293e-7,0.0165317,0.03266912,0.000006701504,0.01861202,0.001271797,0.9253925],"study_design_scores_gemma":[0.000465236,0.0002415651,0.01815616,0.0000562978,7.464589e-7,0.00004020141,0.00008235333,0.9742622,0.000001829618,0.004870469,0.001771506,0.00005145666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01045598,0.0001172869,0.9880205,0.0009157998,0.00009900811,0.0001597132,5.62746e-7,0.00001446991,0.0002166857],"genre_scores_gemma":[0.7482128,0.0002476815,0.2495052,0.001980617,0.0000442469,0.000001972029,3.773749e-7,0.000002487514,0.000004549516],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9415931,"threshold_uncertainty_score":0.2236555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09313419594363102,"score_gpt":0.3964298301778501,"score_spread":0.303295634234219,"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."}}