{"id":"W3167784807","doi":"10.1007/s11625-021-00983-2","title":"Game of Cruxes: co-designing a game for scientists and stakeholders for identifying joint problems","year":2021,"lang":"en","type":"article","venue":"Sustainability Science","topic":"Interdisciplinary Research and Collaboration","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Campbell Family Mental Health Research Institute; Eidgenössische Technische Hochschule Zürich; Agence Nationale de la Recherche; University of Michigan; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Citizen journalism; Stakeholder; Legitimacy; Transdisciplinarity; Sociology; Public relations; Management science; Computer science; Political science; Social science; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01593452,0.000138382,0.0003236623,0.0005157046,0.000770105,0.001288355,0.0007360649,0.00004433663,0.00002213638],"category_scores_gemma":[0.02450154,0.0001145923,0.0001279684,0.003128381,0.002148672,0.001575154,0.0003944593,0.00009616803,0.00000194208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003655282,"about_ca_system_score_gemma":0.003553421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000111648,"about_ca_topic_score_gemma":0.000115596,"domain_scores_codex":[0.9953384,0.0001823287,0.000739723,0.001115014,0.001889942,0.0007345397],"domain_scores_gemma":[0.9881358,0.001173189,0.0002807987,0.0006905309,0.009476019,0.0002436443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009981135,0.001012233,0.02275981,0.004237572,0.00005193186,0.00004366555,0.05809112,0.005086923,0.6988435,0.07208158,0.004810554,0.131983],"study_design_scores_gemma":[0.001252167,0.0008993661,0.01691439,0.0001139126,0.00001366208,0.0000169651,0.08295424,0.03793004,0.1272154,0.7295819,0.002765883,0.0003420296],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7474259,0.0001314143,0.2479429,0.001967857,0.0002052608,0.001981496,0.00005636689,0.00001956606,0.00026925],"genre_scores_gemma":[0.9931451,0.000001533333,0.004861176,0.00003177799,0.00003083243,0.0002018666,0.000005030782,0.000007403876,0.001715292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6575003,"threshold_uncertainty_score":0.9997484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.337579609094446,"score_gpt":0.4951988373323175,"score_spread":0.1576192282378715,"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."}}