{"id":"W2139402268","doi":"10.1186/1748-5908-6-24","title":"Assessing the outcomes of participatory research: protocol for identifying, selecting, appraising and synthesizing the literature for realist review","year":2011,"lang":"en","type":"review","venue":"Implementation Science","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; McGill University","funders":"","keywords":"Health services research; Context (archaeology); Identification (biology); Health administration; Systematic review; Medicine; Corporate governance; Health informatics; Participatory action research; Psychological intervention; Diversity (politics); Grey literature; Community-based participatory research; Nursing research; Medical education; Public relations; Public health; Sociology; MEDLINE; Nursing; Political science; Management","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","sts"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.0711723,0.0003279557,0.001008327,0.0004679788,0.007064187,0.0004106793,0.001398116,0.0001212861,0.00008511056],"category_scores_gemma":[0.01977762,0.0001727659,0.0002002122,0.002775188,0.00112361,0.001156694,0.0004017742,0.0007507047,0.000005280786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000365191,"about_ca_system_score_gemma":0.005332278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002095199,"about_ca_topic_score_gemma":0.0001895542,"domain_scores_codex":[0.989456,0.004208445,0.002835792,0.0008084093,0.001244559,0.001446804],"domain_scores_gemma":[0.9686227,0.02514431,0.003190179,0.0008431529,0.001985227,0.0002144287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006337365,0.00001846871,0.0005101182,0.1475763,0.00004414771,2.15279e-7,0.02381296,3.201312e-8,0.00001309518,0.008759347,0.01904793,0.800211],"study_design_scores_gemma":[0.0003636252,0.00005552449,0.0005791901,0.03041478,0.000152725,0.000003985347,0.00606501,0.000005205835,0.00001405385,0.0005975012,0.9615771,0.0001713484],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.00001915178,0.3467176,0.003895282,0.004815407,0.0005723395,0.6430442,0.0004354732,0.00007100531,0.0004295758],"genre_scores_gemma":[0.00002218986,0.2942531,0.004352611,0.003241915,0.0002127709,0.6977451,0.00001984306,0.00005165687,0.0001007261],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.9425291,"threshold_uncertainty_score":0.9942285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9798354436712889,"score_gpt":0.8546958410556533,"score_spread":0.1251396026156356,"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."}}