{"id":"W3109811716","doi":"10.1002/sdr.1667","title":"Moving online: reflections from conducting system dynamics workshops in virtual settings","year":2020,"lang":"en","type":"article","venue":"System Dynamics Review","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"Natural Environment Research Council; Engineering and Physical Sciences Research Council; University of Toronto; Wellcome Trust; Sight Research UK; University College London","keywords":"Dynamics (music); Computer science; System dynamics; Simulation; Artificial intelligence; Physics; Acoustics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0053506,0.0005587691,0.002191957,0.0004325324,0.000425951,0.0006896021,0.001774932,0.0002584595,0.00009208803],"category_scores_gemma":[0.005389662,0.0004570408,0.0005512237,0.004307798,0.00006558295,0.0005425588,0.00071846,0.0008033155,0.000591805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604643,"about_ca_system_score_gemma":0.0002284282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005494902,"about_ca_topic_score_gemma":0.003287293,"domain_scores_codex":[0.989565,0.00149163,0.004318641,0.001653443,0.002307115,0.0006641926],"domain_scores_gemma":[0.9926491,0.002912572,0.001839214,0.001486876,0.0006871231,0.00042508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001604054,0.0003009375,0.01528083,0.01840786,0.0004157814,0.001249943,0.004691604,0.02384823,0.0004206751,0.4791962,0.01817048,0.437857],"study_design_scores_gemma":[0.0004067559,0.00004958798,0.0002362057,0.023725,0.00006865236,0.0001670793,0.03218613,0.9330703,6.49427e-7,0.0003314972,0.009179387,0.0005787516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1067084,0.1526388,0.6737163,0.01112874,0.01069017,0.007268707,0.002542122,0.002321395,0.03298536],"genre_scores_gemma":[0.9939444,0.0002836777,0.003484415,0.001008256,0.0005492012,0.00006797018,0.0001003295,0.00008790531,0.0004738442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9092221,"threshold_uncertainty_score":0.9997881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2324517132599821,"score_gpt":0.4231545069000763,"score_spread":0.1907027936400943,"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."}}