{"id":"W4387335564","doi":"10.11647/obp.0312.10","title":"Acknowledgements / ཐགས་ར་ཆད་ཞ། / 致谢","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":"Social Sciences and Humanities Research Council of Canada","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001233193,0.0007165959,0.0004379564,0.002312854,0.002550585,0.003480059,0.0008726256,0.001271885,0.1933243],"category_scores_gemma":[0.004597222,0.0003319587,0.0003058375,0.001744293,0.001082465,0.003356537,0.00198762,0.002495104,0.08628377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00239981,"about_ca_system_score_gemma":0.002842928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00939058,"about_ca_topic_score_gemma":0.01124503,"domain_scores_codex":[0.9992821,0.0001190569,0.00004106892,0.00005588852,0.000441901,0.00005999612],"domain_scores_gemma":[0.996649,0.0005697423,0.0001031268,0.0001502054,0.00222746,0.0003005314],"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":[0.00001360561,0.00001873984,0.00003453227,0.0001809299,5.949946e-7,0.00005728669,0.001054504,0.00003266015,0.0002302295,0.03040031,0.9302523,0.03772433],"study_design_scores_gemma":[0.000001109374,0.000001992132,0.00005934668,0.00009731466,7.456686e-7,0.00003279855,0.0003943187,0.00001099086,0.00004140597,0.001146173,0.998212,0.000001776315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001096749,0.01049631,0.001584679,0.03089096,0.05727429,0.000246773,0.0009814017,0.0002045902,0.8972241],"genre_scores_gemma":[0.003423868,0.002866862,0.0004276749,0.001498769,0.004126893,0.00009972723,0.0003020043,0.0001271484,0.9871271],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1933243,"threshold_uncertainty_score":0.6467342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01390181666352707,"score_gpt":0.2239084276106606,"score_spread":0.2100066109471335,"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."}}