{"id":"W6910557877","doi":"10.48448/f1qw-2467","title":"Morphological Processing of Low-Resource Languages: Where We Are and What’s Next","year":2022,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Task (project management); Field (mathematics); Focus (optics); Documentation; Natural language; Computational linguistics","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001001933,0.0004423402,0.0006032891,0.0009524672,0.0003194438,0.0007404027,0.00131955,0.0002439403,0.00801144],"category_scores_gemma":[0.0002441667,0.000371392,0.00006301363,0.001812955,0.003057213,0.0009898437,0.0009065555,0.0006113583,0.0002264135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002200801,"about_ca_system_score_gemma":0.0004667373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001187523,"about_ca_topic_score_gemma":0.0004341122,"domain_scores_codex":[0.9962502,0.0001265065,0.0003949167,0.001135545,0.001428928,0.000663946],"domain_scores_gemma":[0.9980621,0.00007797448,0.0008216404,0.0006953442,0.0001072618,0.0002357266],"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":[0.0001259372,0.001396485,0.002888829,0.003986304,0.0001121151,0.001262559,0.004722989,0.0005389351,0.0388086,0.001170601,0.6413381,0.3036485],"study_design_scores_gemma":[0.001067624,0.0002919855,0.000282821,0.004196041,0.0001023195,0.0003342023,0.07054912,0.00525237,0.0003056437,0.0001981558,0.9160607,0.001359034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02870066,0.4274975,0.000708401,0.004358068,0.001274315,0.004037652,0.001043726,0.003820929,0.5285588],"genre_scores_gemma":[0.3120119,0.01239547,0.03277666,0.003140246,0.002321808,0.0002980596,0.0006152645,0.005441992,0.6309986],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.415102,"threshold_uncertainty_score":0.9998738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02817535123194991,"score_gpt":0.297024063432838,"score_spread":0.2688487122008881,"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."}}