{"id":"W4404783477","doi":"10.18653/v1/2024.emnlp-main.261","title":"Multiple Sources are Better Than One: Incorporating External Knowledge in Low-Resource Glossing","year":2024,"lang":"en","type":"article","venue":"","topic":"Laser and Thermal Forming Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Resource (disambiguation); Computer network","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001585742,0.0001577584,0.000146181,0.0001509021,0.000047555,0.000167365,0.0001383633,0.00008179254,0.00004734125],"category_scores_gemma":[0.000008338979,0.0001394629,0.00005873917,0.0002020645,0.00002770714,0.0002216858,0.00007070504,0.0002546512,0.00007258455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007167091,"about_ca_system_score_gemma":0.000009171703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006415082,"about_ca_topic_score_gemma":0.0002348244,"domain_scores_codex":[0.9992619,0.00001788324,0.0002156117,0.0001711407,0.00009689687,0.0002365357],"domain_scores_gemma":[0.9997143,0.00006890776,0.00001473829,0.0001423138,0.000009362124,0.00005044861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005969368,0.0004096158,0.44442,0.005408998,0.0002945595,0.0007505689,0.01397525,0.01486049,0.185635,0.005406546,0.004726893,0.3240525],"study_design_scores_gemma":[0.0004754552,0.00004770745,0.02233627,0.005563223,0.00002634171,0.0000350002,0.0004946059,0.6109886,0.3453154,0.006017665,0.007693473,0.001006197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9722709,0.0009321648,0.01270641,0.00003868878,0.000133911,0.00009503985,0.000004459118,0.001750182,0.01206825],"genre_scores_gemma":[0.9956384,0.000004064297,0.003741145,0.00003801815,0.0002262507,0.00001634416,0.000003731811,0.00005139005,0.000280602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5961282,"threshold_uncertainty_score":0.5687131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01214594353317187,"score_gpt":0.2285686939403614,"score_spread":0.2164227504071895,"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."}}