{"id":"W4387335581","doi":"10.11647/obp.0312.11","title":"Preface / འག་བརད། / 序言","year":2023,"lang":"bo","type":"book-chapter","venue":"World oral literature series","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006695566,0.0008513733,0.000630958,0.003834824,0.002810001,0.004165301,0.0007807093,0.001212952,0.2110488],"category_scores_gemma":[0.002397289,0.0003456796,0.0003246843,0.003133507,0.001143892,0.003086996,0.00148163,0.002986099,0.08000488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002249137,"about_ca_system_score_gemma":0.00222383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01043538,"about_ca_topic_score_gemma":0.01397284,"domain_scores_codex":[0.9997283,0.00003664972,0.00001558726,0.00002883833,0.0001646433,0.00002588409],"domain_scores_gemma":[0.9989185,0.0002925347,0.00003785093,0.00007447255,0.0005561942,0.0001204335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001039772,0.00002273895,0.00003027461,0.0001850308,6.602015e-7,0.00003668545,0.0003681546,0.00004836914,0.0001827277,0.0219129,0.9262971,0.0509049],"study_design_scores_gemma":[0.00000132643,0.000004784089,0.0000809243,0.0001566435,8.901088e-7,0.00002870238,0.0002237341,0.00001753412,0.00004560683,0.001310053,0.9981276,0.000002225806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007607365,0.01488558,0.002188801,0.01095846,0.07087132,0.0002429324,0.001262881,0.0001994853,0.8986298],"genre_scores_gemma":[0.003592076,0.008845409,0.0005861502,0.001251071,0.00786085,0.000106644,0.0006193799,0.0001846166,0.9769539],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2110488,"threshold_uncertainty_score":0.7060286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01267264701206136,"score_gpt":0.2118828002065601,"score_spread":0.1992101531944987,"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."}}