{"id":"W4366995115","doi":"10.4018/978-1-6684-7509-6.ch013","title":"Mastering the Chaos","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in logistics, operations, and management science book series","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"CGI (Canada)","funders":"","keywords":"Focus (optics); Field (mathematics); Simple (philosophy); Sound change; Computer science; Management science; CHAOS (operating system); Data science; Operations research; Engineering; Epistemology; Mathematics; Computer security; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000896711,0.0003516445,0.0002696668,0.0008391387,0.0009646013,0.0009929832,0.0006460951,0.00006413522,0.0001111462],"category_scores_gemma":[0.00009215284,0.0002815469,0.00004074829,0.0003955415,0.001346581,0.003464248,0.001087326,0.0002054775,0.0004362088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008001374,"about_ca_system_score_gemma":0.00002447985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001430015,"about_ca_topic_score_gemma":0.0008237169,"domain_scores_codex":[0.9979085,0.000004589713,0.0005235789,0.0006576594,0.0005081225,0.0003974965],"domain_scores_gemma":[0.9991034,0.00002620273,0.0001748914,0.0004789507,0.000201691,0.00001481005],"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":[0.000009144589,0.000009063911,0.00003124609,0.0003233297,0.00001264625,0.00002124354,0.00004444481,0.0006606217,0.000001695551,0.9904481,0.0009140872,0.007524354],"study_design_scores_gemma":[0.0001782872,0.00001267523,0.00009709998,0.0002123477,0.00004338808,0.0000012472,0.0007360481,0.001672867,0.000001690163,0.08203158,0.9146369,0.0003758373],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002351397,0.00130046,0.001542714,0.001838379,0.001742497,0.0008995662,0.000005375266,0.000164788,0.9925039],"genre_scores_gemma":[0.004415347,0.02763792,0.0009619239,0.005165843,0.0009667879,0.0001953889,0.00006523667,0.00007068487,0.9605209],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9137229,"threshold_uncertainty_score":0.9999636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02795519293409177,"score_gpt":0.2558000620928003,"score_spread":0.2278448691587086,"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."}}