{"id":"W7110833836","doi":"10.3389/frhs.2025.1712015.s001","title":"Data Sheet 1_Redesigning mental health research systems from within: the role of peer-led co-production.pdf","year":2025,"lang":"","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Hierarchy; Lived experience; Conceptual framework; Embedding; Collaborative network","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"methods","study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"},{"model":"gpt","categories":["insufficient_payload"],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.04165311,0.001324227,0.001926675,0.01008135,0.00294803,0.00785422,0.003987408,0.004390237,0.5815942],"category_scores_gemma":[0.183379,0.001896868,0.002374903,0.01603478,0.001697548,0.00714724,0.005319126,0.003886595,0.2011368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007706823,"about_ca_system_score_gemma":0.02669252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02231514,"about_ca_topic_score_gemma":0.02517091,"domain_scores_codex":[0.9717656,0.008889096,0.006723844,0.001943072,0.008953083,0.001725433],"domain_scores_gemma":[0.7298645,0.170317,0.01400658,0.02186278,0.05851692,0.00543225],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001675162,0.00003581322,0.0006424669,0.003300719,0.0000172659,0.00003143845,0.0001629871,0.0002183437,0.00008532047,0.003825365,0.9707343,0.0207785],"study_design_scores_gemma":[0.0003545798,0.00003923989,0.002902692,0.002903542,0.00001753095,0.00002999685,0.0003308207,0.000211634,0.0002165831,0.003601246,0.9893315,0.00006059276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002703903,0.0001598757,0.002649247,0.004815213,0.0005906124,0.00445505,0.9539073,0.002245913,0.03090638],"genre_scores_gemma":[0.008734206,0.001810396,0.04309025,0.0130745,0.0008115424,0.07932128,0.7560088,0.003484454,0.09366455],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.997052,"threshold_uncertainty_score":0.596805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2410253676061567,"score_gpt":0.4248311445435352,"score_spread":0.1838057769373785,"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."}}