{"id":"W4392563409","doi":"10.1186/s40900-024-00561-7","title":"A balancing act: navigating the nuances of co-production in mental health research","year":2024,"lang":"en","type":"letter","venue":"Research Involvement and Engagement","topic":"Mental Health and Patient Involvement","field":"Health Professions","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"Canadian Institutes of Health Research","keywords":"Production (economics); Context (archaeology); Mental health; Participatory action research; Public relations; Sociology; Citizen journalism; Transformative learning; Government (linguistics); Psychology; Political science; Pedagogy; Law; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["sts"],"domain":null,"study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["metaresearch"],"domain":"methods","study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.06693611,0.0004164987,0.0006998277,0.0009183567,0.004297853,0.00007916951,0.0006722037,0.0004551316,0.0003052662],"category_scores_gemma":[0.0003048125,0.0002990857,0.0001028853,0.001343699,0.0006486425,0.0001636224,0.001116893,0.01989,0.0002381323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002852022,"about_ca_system_score_gemma":0.001743678,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007046232,"about_ca_topic_score_gemma":0.001926584,"domain_scores_codex":[0.9761376,0.0132842,0.002006502,0.001159178,0.004460977,0.002951496],"domain_scores_gemma":[0.9952546,0.002744868,0.0004286879,0.0008356459,0.0004632463,0.0002729004],"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":[0.00007119904,0.0001265671,0.00773695,0.02125664,0.00007060063,0.00002242292,0.03690577,0.000002513696,0.0000711129,0.0002741542,0.9244753,0.008986766],"study_design_scores_gemma":[0.0006426781,0.0008338932,0.0003660614,0.02072669,0.000008446506,7.058493e-7,0.05343709,0.0001539943,0.0001574685,0.001524358,0.9219128,0.0002357814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1143032,0.01238586,0.0000023169,0.8520753,0.003268725,0.01214164,0.0002421665,0.00007299164,0.005507702],"genre_scores_gemma":[0.309873,0.07830262,0.0006701185,0.5426646,0.01888851,0.01363029,0.009603875,0.0005268648,0.02584017],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3094107,"threshold_uncertainty_score":0.9999461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6694330486136583,"score_gpt":0.5873558793877768,"score_spread":0.08207716922588149,"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."}}