{"id":"W6902139699","doi":"10.6084/m9.figshare.20166885.v1","title":"Additional file 2 of Development and usability testing of tools to facilitate incorporating intersectionality in knowledge translation","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Gender Studies in Language","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of British Columbia; University of Ottawa; University of Waterloo; McMaster University; Ottawa Hospital; University of Manitoba; McGill University; University of Toronto; George & Fay Yee Centre for Healthcare Innovation","funders":"","keywords":"Usability; Usability engineering; Intersectionality; Domain (mathematical analysis); Pluralistic walkthrough; Development (topology); Cognitive walkthrough","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002280909,0.00004251981,0.00008764747,0.0000452436,0.0001975353,0.000005566912,0.00008225447,0.00001565791,0.8142179],"category_scores_gemma":[0.009838335,0.00005041116,0.00001582326,0.0003552637,0.0000308892,0.00006899361,0.0001372612,0.00006988534,0.00001386052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001354369,"about_ca_system_score_gemma":0.0002453733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001378916,"about_ca_topic_score_gemma":0.002927809,"domain_scores_codex":[0.9992508,0.0001389336,0.0002119958,0.0001277304,0.000186099,0.00008443503],"domain_scores_gemma":[0.9970965,0.002642263,0.00008764392,0.0000470847,0.0001016591,0.00002481893],"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":[0.000008327852,0.00009465826,0.0005976822,0.0001635672,0.000009813585,9.576654e-7,0.1138298,0.0001220702,0.00001398508,0.00002836784,0.8001309,0.08499991],"study_design_scores_gemma":[0.0001295432,0.00006163149,0.08157223,0.0005993124,0.000001443547,7.441713e-7,0.05682765,0.0001006095,0.00008706115,0.0003692216,0.860082,0.0001685263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.006081128,0.00002208042,0.00000112903,0.00002320996,0.00001500806,0.0001792808,0.9753183,0.0000106638,0.01834918],"genre_scores_gemma":[0.7119921,2.895845e-8,0.009500393,0.00001843593,0.00002702158,0.001215618,0.2771002,0.000004269109,0.0001418784],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.814204,"threshold_uncertainty_score":0.9985022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2999005452844206,"score_gpt":0.3357412037070517,"score_spread":0.03584065842263112,"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."}}