{"id":"W3013741678","doi":"10.2166/hydro.2020.089","title":"A serious gaming tool: Bow River Sim for communicating integrated water resources management","year":2020,"lang":"en","type":"article","venue":"Journal of Hydroinformatics","topic":"Educational Games and Gamification","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"BGC Engineering (Canada); Government of Alberta","funders":"Alberta Environment and Parks","keywords":"Key (lock); Process (computing); Computer science; Interface (matter); Bow tie; Water resources; Process management; Business","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001430656,0.001439086,0.0003672409,0.0009454213,0.0004650116,0.001747142,0.001591592,0.001275922,0.05100046],"category_scores_gemma":[0.005007817,0.0002647871,0.0005509127,0.0003630813,0.0006402834,0.001901371,0.00347316,0.0009343891,0.005583094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004053905,"about_ca_system_score_gemma":0.0005717978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008352725,"about_ca_topic_score_gemma":0.001533653,"domain_scores_codex":[0.9994274,0.0002902778,0.00003708246,0.00007153737,0.0001000995,0.00007366658],"domain_scores_gemma":[0.9982464,0.001082574,0.0000574773,0.0001219351,0.0001676477,0.0003239362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00276153,0.00284377,0.006418794,0.003029369,0.0001638361,0.003157607,0.01429514,0.01519624,0.05653257,0.07454328,0.1865066,0.6345512],"study_design_scores_gemma":[0.001171615,0.003294763,0.009613729,0.001289021,0.0001593914,0.003593642,0.004633444,0.1546308,0.02478321,0.0598579,0.7365959,0.0003766422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.139227,0.0005282985,0.6443121,0.002622778,0.0006322369,0.00393854,0.002218926,0.03115308,0.1753669],"genre_scores_gemma":[0.4035212,0.0005550932,0.5142268,0.001419643,0.0001431961,0.004573199,0.002261902,0.001625947,0.07167303],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05100046,"threshold_uncertainty_score":0.1706135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02960077097776425,"score_gpt":0.2995140829863265,"score_spread":0.2699133120085623,"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."}}