{"id":"W2343691776","doi":"10.3390/w8050175","title":"Exploring the Potential Impact of Serious Games on Social Learning and Stakeholder Collaborations for Transboundary Watershed Management of the St. Lawrence River Basin","year":2016,"lang":"en","type":"article","venue":"Water","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Social learning; Cognitive reframing; Context (archaeology); Stakeholder; Stakeholder engagement; Environmental resource management; Public relations; Knowledge management; Political science; Psychology; Computer science; Geography; Environmental science; Social psychology","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":[0.0001662308,0.00007078648,0.00007826962,0.00000663684,0.0002128967,0.00001550181,0.000109912,0.00001684869,0.0002152154],"category_scores_gemma":[0.000004854639,0.0000280992,0.00005875741,0.00005416679,0.0003584555,0.0001670625,0.0000701247,0.00003441633,0.000002511043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008966499,"about_ca_system_score_gemma":0.000004901527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001037715,"about_ca_topic_score_gemma":0.0000364127,"domain_scores_codex":[0.9993938,0.00005019501,0.0001052224,0.0001292671,0.0001562139,0.0001653081],"domain_scores_gemma":[0.999811,0.0000217535,0.0000420276,0.00009831459,0.00001321261,0.00001370487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00258542,0.0007496833,0.1067117,0.0007762991,0.0005597275,0.00001722581,0.2433528,0.006749367,0.4808624,0.001069162,0.004152422,0.1524138],"study_design_scores_gemma":[0.001300668,0.0002618648,0.9162089,0.00006608511,0.00006872347,0.000001384497,0.01045188,0.00004788098,0.06249998,0.001058454,0.007851418,0.0001828047],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979352,0.000004721588,0.00007426323,0.001464222,0.00005687404,0.0002999079,0.00005647141,0.000005499197,0.0001028923],"genre_scores_gemma":[0.9991644,0.00004321542,0.00002880759,0.00001982576,0.00001386644,0.00004691337,0.000001813049,0.000006293482,0.0006748467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8094971,"threshold_uncertainty_score":0.2356458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05841092502145786,"score_gpt":0.2521424665470263,"score_spread":0.1937315415255684,"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."}}