{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.008913174,0.0001472557,0.0002518354,0.00009735313,0.003629101,0.00135513,0.001973685,0.00002688011,0.00009427587],"category_scores_gemma":[0.0002585348,0.00005245362,0.00005771342,0.00269496,0.0006149446,0.0004477659,0.0004852483,0.0002810599,0.00001391624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008344277,"about_ca_system_score_gemma":0.0003847152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003745852,"about_ca_topic_score_gemma":0.0002310752,"domain_scores_codex":[0.995465,0.0001609526,0.0008072152,0.0002694392,0.002938313,0.0003590344],"domain_scores_gemma":[0.9949948,0.0008710924,0.001050789,0.0006231341,0.002347144,0.0001130288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003563352,0.0002785511,0.004509854,0.000005126159,0.00003473954,0.00005621972,0.06875982,0.1905355,0.3837404,0.2050382,0.003762712,0.1429226],"study_design_scores_gemma":[0.003148858,0.001031725,0.04548934,0.0004661153,0.0005074688,0.003582199,0.1789929,0.4991012,0.04963514,0.1984324,0.01792035,0.001692312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9227759,0.0002585247,0.0694166,0.002024917,0.0002115532,0.0005275866,0.000005399724,0.00001957257,0.004759904],"genre_scores_gemma":[0.9916481,0.00001001206,0.007761292,0.0002648185,0.0001557442,0.000006511941,2.423481e-7,0.00001178161,0.0001414986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3341053,"threshold_uncertainty_score":0.9996815,"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."}}