{"id":"W4401496636","doi":"10.1177/17579759241261049","title":"Integrating knowledge systems for holistic approaches to addressing knowledge and health inequities: combining fuzzy cognitive maps","year":2024,"lang":"en","type":"article","venue":"Global Health Promotion","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; McGill University","funders":"","keywords":"Fuzzy cognitive map; Knowledge management; Cognition; Cognitive map; Stakeholder; Computer science; Fuzzy logic; Data science; Population; Perspective (graphical); Management science; Fuzzy set; Artificial intelligence; Psychology; Sociology; Political science; Engineering; Fuzzy classification; Public relations","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01710627,0.001175335,0.001013541,0.01072729,0.002979525,0.0107554,0.002088018,0.001853367,0.00513385],"category_scores_gemma":[0.03478112,0.0007827791,0.001879671,0.00591485,0.007737464,0.01380466,0.01048687,0.002076762,0.0004228865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004638542,"about_ca_system_score_gemma":0.0038941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006438444,"about_ca_topic_score_gemma":0.008224402,"domain_scores_codex":[0.9883172,0.007678139,0.0006812094,0.0009063924,0.002036716,0.000380336],"domain_scores_gemma":[0.9805361,0.01443704,0.0009680899,0.002078569,0.001487194,0.0004930362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009072793,0.00009882623,0.003975984,0.0008136236,0.0003158835,0.0005479887,0.02355056,0.0409145,0.00140302,0.7341581,0.001636983,0.1924938],"study_design_scores_gemma":[0.00001499895,0.00003770664,0.0009841709,0.000349593,0.00007794154,0.0001250083,0.00603405,0.04809432,0.0007884251,0.9277379,0.01568166,0.00007419757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0329522,0.001538326,0.9272003,0.00359693,0.0001020469,0.0003059231,0.0001549791,0.0003030657,0.0338462],"genre_scores_gemma":[0.4025293,0.0007258487,0.5945569,0.0002076547,0.00005041849,0.0003384888,0.0001493297,0.00006604155,0.001375978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01710627,"threshold_uncertainty_score":0.09046763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3825760112128976,"score_gpt":0.4405043142960131,"score_spread":0.05792830308311547,"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."}}