{"id":"W2972239187","doi":"10.1111/j.1936-704x.2019.03311.x","title":"Using Serious Games to Facilitate Collaborative Water Management Planning Under Climate Extremes","year":2019,"lang":"en","type":"article","venue":"Journal of Contemporary Water Research & Education","topic":"Educational Games and Gamification","field":"Psychology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Polytechnic","funders":"","keywords":"Watershed management; Watershed; Business; Government (linguistics); Stakeholder; Process (computing); Environmental resource management; Environmental planning; Public relations; Computer science; Political science; Economics; Geography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002758678,0.0001784015,0.0002794275,0.0008624494,0.0001759852,0.000186754,0.0003484959,0.00008223776,0.0007529182],"category_scores_gemma":[0.00001520119,0.0001177698,0.00008550288,0.0003259914,0.00006534131,0.0006253808,0.00007860699,0.0003639101,0.0008595949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002733094,"about_ca_system_score_gemma":0.0004244636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000876375,"about_ca_topic_score_gemma":0.000002779778,"domain_scores_codex":[0.997032,0.000674894,0.0007068379,0.0003347886,0.0006971869,0.0005543185],"domain_scores_gemma":[0.9978341,0.00008257909,0.0001759437,0.0003883651,0.001292878,0.000226083],"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":[0.005829926,0.004076025,0.05601696,0.0008423278,0.001782715,0.0001370058,0.4256633,0.006916935,0.222107,0.02039917,0.226338,0.02989065],"study_design_scores_gemma":[0.001418146,0.0009358015,0.03583397,0.0005022994,0.00003975588,0.0001006257,0.13189,0.00004553244,0.01026748,0.005216546,0.8132926,0.0004572153],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629676,0.001465615,0.0003127818,0.009481178,0.002286002,0.000962513,0.000008703179,0.00001343016,0.02250222],"genre_scores_gemma":[0.975745,0.00004269021,0.001110599,0.0004352388,0.0003487049,0.00005439959,0.0000520789,0.00003156594,0.02217972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5869546,"threshold_uncertainty_score":0.9999183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2230448107819361,"score_gpt":0.4525890343083147,"score_spread":0.2295442235263786,"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."}}