{"id":"W3092288189","doi":"10.1016/j.envsoft.2020.104891","title":"Scoping review of the potentials of fuzzy cognitive maps as a modeling approach for integrated environmental assessment and management","year":2020,"lang":"en","type":"article","venue":"Environmental Modelling & Software","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Federation of Canadian Municipalities","keywords":"Toolbox; Fuzzy cognitive map; Computer science; Complement (music); Fuzzy logic; Stakeholder; Cognitive map; Key (lock); Management science; Systems engineering; Cognition; Data mining; Data science; Artificial intelligence; Fuzzy set; Engineering; Membership function; Psychology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000363896,0.0002169015,0.0003488722,0.00004377332,0.0001779409,0.00003127282,0.0005064715,0.00004321621,0.00001003111],"category_scores_gemma":[0.00002025101,0.0001773885,0.0001634187,0.0001621728,0.0001693318,0.0003083407,0.000661053,0.0001262679,0.000002114512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005833369,"about_ca_system_score_gemma":0.00003950321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005960348,"about_ca_topic_score_gemma":1.113518e-7,"domain_scores_codex":[0.9980918,0.00008580132,0.0004849188,0.0006018892,0.0004818827,0.0002537096],"domain_scores_gemma":[0.9993116,0.00007644747,0.0002502143,0.0002507707,0.00001342637,0.00009756155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002924172,0.002513931,0.006532345,0.07953887,0.00121036,0.00003294176,0.01291954,0.53381,0.01917842,0.007562871,0.0001221904,0.3362862],"study_design_scores_gemma":[0.0008153133,0.0001883757,0.0001194419,0.01808411,0.0001612473,0.000008194133,0.001198104,0.9756013,0.002316349,0.001128386,0.00001563957,0.0003636099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01382661,0.004515175,0.9793263,0.000166117,0.00004138555,0.001893832,0.00008221422,0.00002866192,0.0001196903],"genre_scores_gemma":[0.8293902,0.008330864,0.1612493,0.0008177512,0.00001419348,0.0001182326,0.00005068813,0.00001569919,0.00001304758],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.818077,"threshold_uncertainty_score":0.7233695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03668887903617242,"score_gpt":0.264854340275007,"score_spread":0.2281654612388346,"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."}}