{"id":"W6968017040","doi":"10.5281/zenodo.12090440","title":"Expanding structures while reducing mappings: Morphosyntactic complexity in agglutinating heritage languages","year":2024,"lang":"en","type":"book-chapter","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lexicalization; Heritage language; Rule-based machine translation; Morphology (biology); Syntax; Constructed language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005654242,0.0003260507,0.0002809072,0.001038063,0.000663401,0.003048791,0.0005915443,0.0003716851,0.004588973],"category_scores_gemma":[0.001240933,0.0002084273,0.0003483851,0.001783015,0.003224166,0.0040347,0.001354129,0.001349783,0.0006234685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024034,"about_ca_system_score_gemma":0.0004701422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009658815,"about_ca_topic_score_gemma":0.001627557,"domain_scores_codex":[0.9996425,0.0001234995,0.00002560184,0.00007835477,0.0001013027,0.0000287098],"domain_scores_gemma":[0.9992687,0.0004793999,0.00006028455,0.0001186416,0.00005259341,0.00002026752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003871804,0.00001525353,0.001983667,0.0005530684,0.00002954685,0.0003576555,0.008113816,0.001835615,0.006559198,0.7542759,0.005316298,0.2209212],"study_design_scores_gemma":[0.000008161677,0.00003685296,0.009830087,0.0002695863,0.00004391566,0.001648795,0.002439536,0.003573316,0.005191959,0.7032336,0.2736908,0.00003330506],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3975558,0.09213591,0.1942975,0.006854612,0.0004077533,0.00008493321,0.0007459842,0.00081539,0.3071021],"genre_scores_gemma":[0.8762832,0.02820169,0.05865315,0.0006565864,0.000326433,0.00007889101,0.0008563633,0.0004670851,0.03447662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004588973,"threshold_uncertainty_score":0.01535159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07917362166052253,"score_gpt":0.2665669710180846,"score_spread":0.1873933493575621,"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."}}