{"id":"W2531041739","doi":"10.5267/j.msl.2016.10.002","title":"Creating a climate and culture for sustainable organizational change","year":2016,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Leadership, Behavior, and Decision-Making Studies","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Organizational culture; Business; Organisation climate; Organizational change; Process management; Climate change; Knowledge management; Environmental resource management; Computer science; Operations management; Industrial organization; Public relations; Political science; Environmental science; Economics; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00302617,0.0001470582,0.0001709583,0.000451385,0.001275745,0.0007621266,0.0007714464,0.00002603432,0.00005728225],"category_scores_gemma":[0.001671717,0.00008136295,0.00004615895,0.001395408,0.0006081309,0.001325945,0.0006052121,0.00003597796,0.00006055362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009838254,"about_ca_system_score_gemma":0.000008228085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005562856,"about_ca_topic_score_gemma":0.000003300151,"domain_scores_codex":[0.9968328,0.00003316541,0.0003082962,0.0007591642,0.001419237,0.0006473399],"domain_scores_gemma":[0.9986605,0.000486455,0.0001508927,0.000374998,0.000236623,0.00009050933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001013233,0.0001463948,0.3755962,0.0001149047,0.00004830658,0.0001721869,0.02294269,0.00002331204,0.008571268,0.289712,0.1334003,0.1691712],"study_design_scores_gemma":[0.004434426,0.0003922708,0.4764902,0.0004649012,0.0001709992,0.00002864846,0.1088738,0.0007182401,0.001513099,0.1119343,0.2931772,0.001801881],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7276484,0.0002565042,0.1126773,0.1377796,0.001111878,0.003110602,0.00003566287,0.0003098926,0.01707015],"genre_scores_gemma":[0.9808829,0.00003414655,0.006196078,0.005495555,0.0001494656,0.0001017657,8.54018e-7,0.0000119607,0.007127295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2532345,"threshold_uncertainty_score":0.9812127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0833941404214995,"score_gpt":0.3617339838706611,"score_spread":0.2783398434491616,"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."}}