{"id":"W3097686739","doi":"10.1111/1468-5973.12337","title":"The COVID‐19 crisis and complexity: A soft systems approach","year":2020,"lang":"en","type":"article","venue":"Journal of Contingencies and Crisis Management","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Scholarship; Ideology; 2019-20 coronavirus outbreak; Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Politics; Epistemology; Sociology; Containment (computer programming); Political science; Positive economics; Law; Economics; Computer science; Medicine; Virology; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.002196161,0.0001731247,0.0005583604,0.00004041323,0.0004802043,0.0002042331,0.0002553327,0.00003928258,0.000007352383],"category_scores_gemma":[0.001626117,0.00009738386,0.0001241444,0.0001281004,0.0001424379,0.00007452234,0.0004156765,0.000175215,9.292792e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004554121,"about_ca_system_score_gemma":0.00001176553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005349821,"about_ca_topic_score_gemma":0.000006271166,"domain_scores_codex":[0.9982576,0.0002050988,0.0007236887,0.0002084643,0.0003511178,0.0002539667],"domain_scores_gemma":[0.9977987,0.001094547,0.000605927,0.0001455045,0.0001168085,0.0002384987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001289851,0.00008561302,0.004171148,0.00167922,0.001095965,0.00005219067,0.003844675,0.00008389431,0.000006376482,0.1971723,0.788278,0.003401605],"study_design_scores_gemma":[0.0009849677,0.0003191124,0.002146445,0.00003720235,0.0006250498,0.00004927964,0.08663116,0.002150654,0.000001750309,0.08169457,0.8250791,0.0002806947],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1048841,0.06198845,0.3784828,0.4453513,0.0005792609,0.001804409,0.00001975107,0.0001750502,0.006714965],"genre_scores_gemma":[0.9694303,0.00688172,0.008125237,0.01508829,0.0002817469,0.00002423115,3.447768e-7,0.00001781161,0.0001503489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8645462,"threshold_uncertainty_score":0.3971198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3302891563691637,"score_gpt":0.3829625665962946,"score_spread":0.05267341022713085,"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."}}