{"id":"W6939600253","doi":"10.6084/m9.figshare.26752339","title":"Additional file 5 of Exploring methods for creating or adapting knowledge mobilization products for culturally and linguistically diverse audiences: a scoping review","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Educational Tools and Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Relevance (law); Variety (cybernetics); Context (archaeology); Qualitative research; Diversity (politics)","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":[0.0005255388,0.00007913344,0.0001608397,0.00003003257,0.000361702,0.00006736535,0.00009149982,0.00003107057,0.4868924],"category_scores_gemma":[0.1568861,0.00006392119,0.0000562932,0.0002880862,0.00002418944,0.0002215773,0.00003975624,0.00004526781,0.00001058855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003968937,"about_ca_system_score_gemma":0.0008089852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004094424,"about_ca_topic_score_gemma":0.00005187113,"domain_scores_codex":[0.9991375,0.0001218701,0.0002276742,0.0002529914,0.00009895612,0.0001610081],"domain_scores_gemma":[0.9854389,0.01359566,0.0001109722,0.00005889456,0.0007371904,0.00005831095],"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":[0.000004113732,0.00001326946,9.959827e-8,0.01546712,0.00001087797,1.836662e-7,0.002775052,0.000001401722,0.0000139636,0.0009772524,0.8755326,0.105204],"study_design_scores_gemma":[0.00002615577,0.00002906789,0.000005771688,0.2192847,0.00001723731,5.618623e-7,0.0008604924,0.0004632917,0.00004885866,0.0002482623,0.7789302,0.00008528886],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.000001001693,0.009457596,0.000671114,0.0001451426,0.0001922558,0.001692843,0.9811986,0.00007014621,0.006571314],"genre_scores_gemma":[0.00001241239,0.0003319953,0.7134539,0.00005414725,0.001299201,0.01328486,0.2681554,0.0000151795,0.00339283],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.7130432,"threshold_uncertainty_score":0.8502159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4655917265005858,"score_gpt":0.5378625257865048,"score_spread":0.07227079928591906,"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."}}