{"id":"W2784610280","doi":"10.5539/mas.v12n2p93","title":"Organization Intelligence and Bureaucracy Reform at Public Organization in Indonesia","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bureaucracy; Credibility; Government (linguistics); Public relations; Public administration; Public service; Political science; Politics; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001497277,0.00008390774,0.0001158756,0.0005858928,0.003434624,0.002912491,0.0003462523,0.0003864534,0.003370428],"category_scores_gemma":[0.002163403,0.0001643458,0.00009006439,0.0009853598,0.002497085,0.001535283,0.001303073,0.000899287,0.0002498402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00781628,"about_ca_system_score_gemma":0.007592478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01647306,"about_ca_topic_score_gemma":0.02525724,"domain_scores_codex":[0.9982405,0.0005561013,0.00008708865,0.0001264436,0.0004824319,0.0005074968],"domain_scores_gemma":[0.9982067,0.0003688291,0.0006369128,0.0001175264,0.0002439953,0.0004260982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000152834,0.0009532477,0.2487713,0.0005461659,0.00002705681,0.00467174,0.3961253,0.002019915,0.003981413,0.150114,0.01800283,0.1746342],"study_design_scores_gemma":[0.00001993251,0.0001409067,0.6063154,0.0003765177,0.00002654235,0.0006651616,0.2649366,0.002901013,0.001603699,0.00728834,0.1156784,0.00004741564],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490641,0.0002885696,0.0006561049,0.002025357,0.00002322565,0.0000478119,0.00002648474,0.00001475461,0.04785367],"genre_scores_gemma":[0.9958832,0.0001136286,0.0001290095,0.00007137217,0.000004706442,0.00000914562,0.00001161742,0.000003764313,0.00377342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01647306,"threshold_uncertainty_score":0.05671138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02281339691118898,"score_gpt":0.2331065359029129,"score_spread":0.210293138991724,"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."}}