{"id":"W3201726527","doi":"","title":"Integrating Storytelling and a Coupled Socio-Economic and Environmental Models to Explore Interactions, Uncertainties and Vulnerabilities of Complex Human-Water Systems","year":2020,"lang":"en","type":"article","venue":"AGU Fall Meeting 2020","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Storytelling; Environmental systems; Environmental resource management; Sociology; Environmental planning; Computer science; Environmental science; Ecology; Narrative; Sustainability","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":[0.001238416,0.0002257403,0.0006063047,0.0001335904,0.0003900107,0.0004381269,0.0002339028,0.00005069933,0.00003406471],"category_scores_gemma":[0.0002725304,0.0001669691,0.0000666679,0.00007308125,0.0001744665,0.000345542,0.0004785826,0.0001652761,0.00001119542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005959392,"about_ca_system_score_gemma":0.00001544137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001703058,"about_ca_topic_score_gemma":0.0003209117,"domain_scores_codex":[0.9974142,0.0002355548,0.001025007,0.0006494293,0.0004451403,0.0002306858],"domain_scores_gemma":[0.9978984,0.00133805,0.0002788318,0.0002321523,0.00005516667,0.0001974165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005456079,0.0001110908,0.1186666,0.0006615118,0.0003515292,0.00004756039,0.461049,0.1754323,0.1952928,0.0246901,0.01040163,0.01275025],"study_design_scores_gemma":[0.0004030573,0.0001693522,0.0005132718,0.0001981854,0.00001899345,0.00002694088,0.2486844,0.7418757,0.0001285462,0.003895743,0.003776732,0.0003091198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934093,0.001259668,0.004039933,0.0003967413,0.0001616979,0.0003066276,0.00002396399,0.0000337995,0.000368285],"genre_scores_gemma":[0.9982934,0.00001872166,0.001203576,0.0001435396,0.0001435087,0.00002066421,0.000005865496,0.00002016772,0.0001505845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5664434,"threshold_uncertainty_score":0.6808802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2033555815324233,"score_gpt":0.3482151814063316,"score_spread":0.1448595998739082,"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."}}