{"id":"W2483415789","doi":"10.1002/9781119155133.ch130","title":"Myanmar Spring: “Look, Listen, Learn, and Leave”","year":2015,"lang":"en","type":"other","venue":"","topic":"Asian Geopolitics and Ethnography","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Burmese; License; Cash; Business; Mobile phone; Population; Quarter (Canadian coin); The Internet; Telecommunications; Computer security; Geography; Computer science; Finance; World Wide Web; Sociology","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":[0.0004232272,0.0003711441,0.0001862172,0.0002929578,0.008207411,0.001714633,0.0004435615,0.00081738,0.01332789],"category_scores_gemma":[0.0006009747,0.0002258085,0.0001511556,0.0004249144,0.002038493,0.001904881,0.002101362,0.002012832,0.003295788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001322316,"about_ca_system_score_gemma":0.001446561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01604591,"about_ca_topic_score_gemma":0.04642803,"domain_scores_codex":[0.9997025,0.000117812,0.000007020886,0.00002902753,0.00003056136,0.0001130263],"domain_scores_gemma":[0.9998772,0.0000268657,0.00002586137,0.0000095939,0.00002037232,0.00004011914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006900966,0.000112844,0.01055527,0.0003370825,0.00001136215,0.002261707,0.7783986,0.00004702756,0.003478826,0.05085055,0.1012492,0.05262845],"study_design_scores_gemma":[0.000002435453,0.00003584597,0.009458884,0.0002140121,0.000003587779,0.000815523,0.4449668,0.00002567776,0.0003630646,0.0006517754,0.543446,0.0000164218],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5330418,0.006864374,0.001867594,0.03788525,0.001720548,0.0002232553,0.001211152,0.0001674506,0.4170186],"genre_scores_gemma":[0.7806373,0.004628338,0.00145301,0.007037808,0.0002300487,0.0002870063,0.0003588976,0.0001218784,0.2052458],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01604591,"threshold_uncertainty_score":0.04458624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03320280469709865,"score_gpt":0.3080031771647271,"score_spread":0.2748003724676285,"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."}}