{"id":"W4388052223","doi":"10.2139/ssrn.4618324","title":"Hybrid Bayesian Inference-Based Participatory System Dynamics Modelling for Temporally Data-Poor Regions: Indigenous Small-Scale Agriculture and Food Systems in Tz’Olöj Ya’ and K’Iche’ (Guatemala)","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Sustainable Agricultural Systems Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Indigenous; Citizen journalism; Scale (ratio); Inference; Agriculture; Bayesian inference; Participatory action research; Bayesian probability; Sociology; Computer science; Geography; Artificial intelligence; Anthropology; Ecology; Cartography; Archaeology; Biology","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":[0.001407531,0.000495996,0.0009784522,0.0005753897,0.0007786308,0.001539606,0.001566047,0.001519165,0.002370401],"category_scores_gemma":[0.005647934,0.0006068595,0.000808079,0.0009955789,0.000903449,0.001385785,0.001924974,0.001210589,0.0001414704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002054717,"about_ca_system_score_gemma":0.001990194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1471829,"about_ca_topic_score_gemma":0.1180433,"domain_scores_codex":[0.9994136,0.0003219329,0.00002236634,0.0001277012,0.00003823287,0.00007618328],"domain_scores_gemma":[0.9974664,0.002082437,0.0001724602,0.00007857086,0.0001117192,0.00008838587],"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":[0.00004981943,0.00004176502,0.004859566,0.00003674649,0.00007512557,0.0001109866,0.0003492403,0.9818813,0.0001904852,0.007902412,0.000259024,0.004243373],"study_design_scores_gemma":[0.000005297148,0.00000506084,0.0006428663,0.000002413302,0.000006155228,0.00000470062,0.00007560529,0.9960162,0.00002732227,0.00310775,0.0001016729,0.000004900622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7155649,0.0002792444,0.2753775,0.002068353,0.00003171686,0.0001031764,0.001111441,0.0002643331,0.005199451],"genre_scores_gemma":[0.9855739,0.00004965607,0.01312413,0.0000272727,0.000007997004,0.00006775203,0.000224835,0.00001839384,0.0009060389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1471829,"threshold_uncertainty_score":0.2926524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03630705906942781,"score_gpt":0.2428185282115875,"score_spread":0.2065114691421597,"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."}}