{"id":"W4398144355","doi":"10.1186/s13690-024-01303-7","title":"Fuzzy cognitive mapping in participatory research and decision making: a practice review","year":2024,"lang":"en","type":"review","venue":"Archives of Public Health","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Health informatics; Health services research; Public health; Fuzzy cognitive map; Citizen journalism; Quality of Life Research; Health administration; Cognition; Medicine; Management science; Fuzzy logic; Computer science; Knowledge management; Data science; Artificial intelligence; Fuzzy set; Nursing; World Wide Web","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":[],"consensus_categories":[],"category_scores_codex":[0.01522302,0.0002891325,0.001367602,0.001873463,0.0001845723,0.0002531065,0.001062744,0.00007627827,0.000003008519],"category_scores_gemma":[0.006809362,0.0002315193,0.0001695813,0.003460084,0.0004257195,0.0008089509,0.001785976,0.001105497,0.0000483358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000113463,"about_ca_system_score_gemma":0.004329468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004927618,"about_ca_topic_score_gemma":0.00002898613,"domain_scores_codex":[0.9933215,0.002561154,0.001199525,0.001087477,0.0008081001,0.001022268],"domain_scores_gemma":[0.9886827,0.009624815,0.00051323,0.0005643705,0.0002377978,0.0003770386],"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":[6.810495e-7,0.00007000512,0.000002192719,0.04155624,0.00002375517,0.00003455093,0.001878094,4.084225e-9,1.94954e-8,0.02200313,0.0003095869,0.9341217],"study_design_scores_gemma":[0.00007166205,0.0001240957,0.00003822991,0.2786092,0.0000234762,0.00007011718,0.0003787503,0.00007521339,9.545212e-9,0.01324335,0.7071957,0.0001701882],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001338651,0.961148,0.02472571,0.004118651,0.0001460872,0.001403258,0.00001381506,0.00004271577,0.00840042],"genre_scores_gemma":[0.0001022983,0.9862605,0.01234372,0.0009909493,0.00005054099,0.0001996369,0.000006838832,0.00001845821,0.000027115],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9339516,"threshold_uncertainty_score":0.9441085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5548070177631378,"score_gpt":0.5517949811539046,"score_spread":0.003012036609233215,"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."}}