{"id":"W4388879283","doi":"10.1007/978-3-031-45229-1_11","title":"Conclusions and a Way Forward","year":2023,"lang":"en","type":"book-chapter","venue":"Understanding complex systems","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Supply chain; Supply chain management; Field (mathematics); Face (sociological concept); Relation (database); Phenomenon; Process management; Management science; Computer science; Knowledge management; Engineering; Business; Engineering ethics; Marketing; Sociology; Epistemology; Social science","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004364299,0.0004838797,0.0006480426,0.0008355046,0.0007121598,0.0007934977,0.0003538291,0.0002378412,0.0003344544],"category_scores_gemma":[0.0000276574,0.0004301262,0.0001618819,0.000146553,0.0002070188,0.0003009735,0.0007305594,0.000258694,0.001029915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002869423,"about_ca_system_score_gemma":0.00001979315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004370933,"about_ca_topic_score_gemma":0.0001917371,"domain_scores_codex":[0.9977663,0.000007180036,0.000514956,0.000638043,0.0006117441,0.0004617747],"domain_scores_gemma":[0.9988798,0.0001515169,0.0004205505,0.0004345825,0.00007613452,0.00003740726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008901476,0.000005325974,0.0001073684,0.0006184062,0.0001171814,0.00006509181,0.0000530754,0.0000730708,0.000005168789,0.8982164,0.1005896,0.0001404683],"study_design_scores_gemma":[0.0004992117,0.00001953732,0.00005178916,0.0009306987,0.0002081509,0.00000907425,0.003103977,0.01091871,6.159983e-8,0.1431365,0.8404174,0.000704941],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003450747,0.0004319093,0.005519121,0.0008481962,0.00212329,0.001163026,0.00003067335,0.0006435573,0.9892057],"genre_scores_gemma":[0.260771,0.0003635109,0.0000306043,0.0008136308,0.002987251,0.00004592843,0.000265182,0.0002654485,0.7344574],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7550799,"threshold_uncertainty_score":0.999815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1232077597060927,"score_gpt":0.254967134266916,"score_spread":0.1317593745608233,"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."}}