{"id":"W4413756425","doi":"10.1371/journal.pgph.0003661","title":"Learning from failure: Simulating pandemic agreement negotiations in a global health classroom","year":2025,"lang":"en","type":"article","venue":"PLOS Global Public Health","topic":"Innovative Teaching Methodologies in Social Sciences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Pandemic; Negotiation; Agreement; Coronavirus disease 2019 (COVID-19); Psychology; Political science; Medicine; Law; Infectious disease (medical specialty); Linguistics","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":[0.004334878,0.001229656,0.0005090245,0.000614085,0.002111666,0.003636996,0.002501399,0.002680176,0.006858387],"category_scores_gemma":[0.01509043,0.0003589681,0.0006449137,0.0003894995,0.00374017,0.00265365,0.005397259,0.003056708,0.0007969661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00208688,"about_ca_system_score_gemma":0.002604199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002625397,"about_ca_topic_score_gemma":0.004458957,"domain_scores_codex":[0.9958188,0.003123157,0.00009063037,0.0003107149,0.0002971922,0.0003596365],"domain_scores_gemma":[0.9838067,0.01307585,0.0006271291,0.0007139742,0.0004752405,0.001301108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001891788,0.00973453,0.03381269,0.001573837,0.0002200611,0.004166279,0.1866712,0.4668607,0.01544065,0.117298,0.01895423,0.1433761],"study_design_scores_gemma":[0.001116319,0.005156008,0.01000211,0.001299229,0.0001153876,0.0007589182,0.08264368,0.5190224,0.02011894,0.184726,0.1746765,0.0003645294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8946019,0.0002819768,0.05373022,0.003798136,0.0001927343,0.0006797815,0.0002510294,0.0003853475,0.0460788],"genre_scores_gemma":[0.9619854,0.0002006903,0.0309872,0.0003994058,0.00003347013,0.0005048651,0.0001968457,0.00007080851,0.00562124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006858387,"threshold_uncertainty_score":0.02294356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1702159021655671,"score_gpt":0.464541148751326,"score_spread":0.2943252465857589,"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."}}