{"id":"W6901986887","doi":"10.6084/m9.figshare.14140144","title":"Additional file 1 of A generative co-design framework for healthcare innovation: development and application of an end-user engagement framework","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Persona Design and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Victorian Order of Nurses; McMaster University","funders":"","keywords":"Terminology; Table (database); Health care; Generative grammar; Development (topology)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007012909,0.00009341547,0.0001275074,0.00006321575,0.000155225,0.0000357458,0.0002373437,0.00009391017,0.2732084],"category_scores_gemma":[0.0008449897,0.0001006532,0.00002188303,0.0005565984,0.00001064532,0.0001415443,0.00007303174,0.0001124506,0.00003711477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000316316,"about_ca_system_score_gemma":0.0005046048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.895754e-7,"about_ca_topic_score_gemma":0.000001202127,"domain_scores_codex":[0.9990631,0.00006171119,0.0002586881,0.0003045975,0.0001938889,0.0001180652],"domain_scores_gemma":[0.9973531,0.001534347,0.0002094166,0.0003013883,0.0005526868,0.00004909341],"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":[0.000003274137,0.00008033421,6.095779e-7,0.00009672437,0.00001579897,5.587504e-7,0.0007102969,0.00001717631,0.0001515764,0.06502921,0.904829,0.02906548],"study_design_scores_gemma":[0.0001255332,0.00008264753,0.001082562,0.0009611434,0.000002481452,0.000004143888,0.0001518141,0.007134071,0.02980532,0.01957942,0.9408634,0.0002074506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.000004513328,0.00002771257,0.4534849,0.0002424463,0.000004213058,0.0002727084,0.5459036,0.00002116088,0.0000387338],"genre_scores_gemma":[0.00130411,4.009137e-7,0.6154096,0.0003683083,0.00004154542,0.003752163,0.3790812,0.00000523215,0.00003741368],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2731713,"threshold_uncertainty_score":0.727456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1001453691946285,"score_gpt":0.3306349411183775,"score_spread":0.230489571923749,"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."}}