{"id":"W2132333505","doi":"10.1002/nml.11408","title":"Managing Change in Museums","year":2001,"lang":"en","type":"article","venue":"Nonprofit Management and Leadership","topic":"Museums and Cultural Heritage","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bass (fish); Management; Revenue; Sociology; Art; Marketing; Business; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001423355,0.0001474113,0.0001311617,0.0001300747,0.0001484465,0.0001743896,0.0001167209,0.00003059615,0.001881412],"category_scores_gemma":[0.000001202474,0.000123359,0.0000361338,0.00006727436,0.00008488737,0.0003559223,0.00004816461,0.0001129973,0.0001420718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001730982,"about_ca_system_score_gemma":9.054544e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004595788,"about_ca_topic_score_gemma":0.001988037,"domain_scores_codex":[0.9991084,0.00002245132,0.0001495365,0.0002440806,0.0001276722,0.0003478265],"domain_scores_gemma":[0.9997667,0.0000093989,0.00003194301,0.0001309734,0.00001133467,0.00004964057],"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":[0.00006837457,0.00009429866,0.01693657,0.000600995,0.00005623087,0.0002950817,0.08213647,9.131705e-7,0.000005780065,0.6731128,0.004098326,0.2225942],"study_design_scores_gemma":[0.0009025847,0.00006814537,0.0290389,0.0002137679,0.00003018978,0.000003928159,0.07688798,0.000302619,0.000003445943,0.00201468,0.8901082,0.000425552],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1606807,0.002027158,0.00001104708,0.01081699,0.0005200183,0.0007983893,0.000002200323,0.0001817528,0.8249617],"genre_scores_gemma":[0.9337059,0.0003409531,0.00003937012,0.002135824,0.00046215,0.00008293078,0.000008427046,0.00001592491,0.06320852],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8860099,"threshold_uncertainty_score":0.999031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2666044726160692,"score_gpt":0.2646449088003052,"score_spread":0.001959563815764065,"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."}}