{"id":"W7132394754","doi":"","title":"Gᵢ2Pᵢ: rule-based, index-preserving grapheme-to-phoneme transformations","year":2022,"lang":"en","type":"article","venue":"NPARC","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Python (programming language); Documentation; Open source; Application programming interface; User interface; Interface (matter)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003232231,0.0001421271,0.0001349925,0.0003360305,0.0003007534,0.00008162051,0.001627858,0.00003369802,0.0003170924],"category_scores_gemma":[0.000006495454,0.0001646142,0.00008720248,0.0009013594,0.00001463365,0.000325721,0.0004717605,0.0002795207,0.00002208491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001012531,"about_ca_system_score_gemma":0.00007470875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000257332,"about_ca_topic_score_gemma":0.000004632092,"domain_scores_codex":[0.9985893,0.00005585164,0.0002265968,0.0003022368,0.0005046399,0.0003213465],"domain_scores_gemma":[0.998948,0.00004428154,0.00003874287,0.0007869776,0.00005319838,0.0001288428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002621616,0.0003063583,0.002129321,0.0001047589,0.00004875277,0.0000506303,0.00438867,0.2805757,0.01831549,0.5010714,0.04986351,0.1431192],"study_design_scores_gemma":[0.0003529386,0.000123523,0.0009678034,0.00002320455,0.00000521236,0.0000151587,0.000009697337,0.7369111,0.005277697,0.02332219,0.2325654,0.0004261246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008103636,0.00001361831,0.9858167,0.002025877,0.0002166983,0.0002733368,0.00001845479,0.001436585,0.002095123],"genre_scores_gemma":[0.5071493,0.000001297497,0.4919015,0.0005362716,0.00001675377,0.0003084631,0.000006132442,0.00001496109,0.00006531458],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4990457,"threshold_uncertainty_score":0.6712772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01090052229885881,"score_gpt":0.2229393333450151,"score_spread":0.2120388110461564,"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."}}