{"id":"W3193745088","doi":"10.1177/00218863211038119","title":"The Generative Change Model: Creating the Agile Organization While Dealing With a Complex Problem","year":2021,"lang":"en","type":"article","venue":"The Journal of Applied Behavioral Science","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Transformational leadership; Variety (cybernetics); Agile software development; Generative grammar; Process management; Process (computing); Planned change; Dialogic; Stakeholder; Change management (ITSM); Generative model; Intervention (counseling); Knowledge management; Computer science; Sociology; Psychology; Business; Organization development; Political science; Artificial intelligence; Social psychology; Public relations; Marketing; Software engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004534799,0.000729293,0.0003229715,0.0008928754,0.001930757,0.00461071,0.002029546,0.002650082,0.00263032],"category_scores_gemma":[0.007619235,0.0004866094,0.0008532274,0.000641612,0.006849828,0.004124168,0.005220213,0.002857681,0.0006636015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001814016,"about_ca_system_score_gemma":0.005305691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002177858,"about_ca_topic_score_gemma":0.004012768,"domain_scores_codex":[0.9960293,0.002209059,0.00009663498,0.0003843968,0.0008850772,0.000395634],"domain_scores_gemma":[0.9970251,0.001373489,0.0002730737,0.000576631,0.0002610553,0.0004906869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008090508,0.0002481257,0.003966664,0.0002525244,0.00005780008,0.0009313958,0.0128773,0.03340821,0.003334396,0.8423525,0.008596407,0.09389376],"study_design_scores_gemma":[0.0002252232,0.0005909034,0.001558118,0.0004164223,0.00008445283,0.001545062,0.008671196,0.1667098,0.003449707,0.6586648,0.1579444,0.0001399555],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02973261,0.0002323491,0.9006858,0.009789487,0.0001865426,0.0004322079,0.00004041999,0.0004427888,0.05845782],"genre_scores_gemma":[0.4292297,0.000399241,0.5583146,0.001460824,0.0000624053,0.0008089624,0.00008659252,0.0001546294,0.009483041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00461071,"threshold_uncertainty_score":0.02398258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2754156788948673,"score_gpt":0.404272233060221,"score_spread":0.1288565541653537,"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."}}