{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004925625,0.0004975369,0.0003459344,0.001633327,0.006710585,0.01233007,0.001723943,0.002536362,0.0260595],"category_scores_gemma":[0.007031778,0.0002940314,0.0004090748,0.001632485,0.005668239,0.007316255,0.01235306,0.002264447,0.002969469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007010371,"about_ca_system_score_gemma":0.009209714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007852032,"about_ca_topic_score_gemma":0.01523522,"domain_scores_codex":[0.9960206,0.001790147,0.0001257564,0.0003645957,0.0007980396,0.000900856],"domain_scores_gemma":[0.9962751,0.0005244708,0.0004535731,0.000427496,0.0006461013,0.001673311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009950057,0.0002393049,0.005222836,0.0007169896,0.00007824285,0.0006220934,0.01838565,0.002247531,0.001160776,0.2529193,0.3439209,0.3743869],"study_design_scores_gemma":[0.00002430052,0.0001044363,0.004108509,0.0005194935,0.00001909891,0.0002050443,0.01769822,0.0005704474,0.000272434,0.06875159,0.9077001,0.00002631856],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0581864,0.0405704,0.009273509,0.1519009,0.003092573,0.0002759614,0.0002348874,0.0006526518,0.7358127],"genre_scores_gemma":[0.8200554,0.01646851,0.0093326,0.009398594,0.001200409,0.0002057916,0.0002152087,0.000164289,0.1429592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0260595,"threshold_uncertainty_score":0.08717775,"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."}}