{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000513354,0.0001189857,0.0002165718,0.00009139768,0.00009514627,0.00006283756,0.0003830564,0.00005766659,0.0001021438],"category_scores_gemma":[0.00006787204,0.00007895044,0.0001273722,0.0001039283,0.00004409018,0.0002367365,0.00005719118,0.0002504928,0.00006982753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004642556,"about_ca_system_score_gemma":0.00001422375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004046978,"about_ca_topic_score_gemma":6.171854e-7,"domain_scores_codex":[0.998689,0.00004580598,0.0008155199,0.00006116427,0.0001926566,0.0001958402],"domain_scores_gemma":[0.9989264,0.0001295754,0.0005084234,0.0002172987,0.0001361972,0.00008211198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008971745,0.0005789881,0.001702661,0.000996421,0.001562892,0.0000339491,0.771919,0.005826379,0.001275845,0.01102704,0.06352729,0.1406524],"study_design_scores_gemma":[0.001885055,0.0005799926,0.00297241,0.0001831179,0.0002043117,0.0001526261,0.05748194,0.04692178,0.0003240375,0.001100842,0.8878954,0.0002984618],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814129,0.000191289,0.005169088,0.005581665,0.0002956135,0.0003235765,0.000009669774,0.00002446586,0.006991713],"genre_scores_gemma":[0.9642819,0.00004939278,0.03268386,0.002073308,0.0001911311,0.00001330558,0.00003043195,0.00001916288,0.000657512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8243681,"threshold_uncertainty_score":0.3219506,"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."}}