{"id":"W2490010738","doi":"10.1075/tsl.86.04lex","title":"Lexical polysynthesis","year":2009,"lang":"en","type":"book-chapter","venue":"Typological studies in language","topic":"Linguistics and Cultural Studies","field":"Arts and Humanities","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grammaticalization; Linguistics; Homophone; Lexical item; Computer science; Verb; Natural language processing; Philosophy","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":[0.0004503452,0.00048742,0.0003365123,0.002310449,0.002270866,0.002006792,0.0003999086,0.0003088479,0.01499272],"category_scores_gemma":[0.001241646,0.000303909,0.0003114153,0.003213477,0.001746676,0.002250761,0.001584859,0.0005145883,0.001364802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635411,"about_ca_system_score_gemma":0.001131047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01265844,"about_ca_topic_score_gemma":0.03291183,"domain_scores_codex":[0.9994739,0.00009915586,0.00004832309,0.0001511866,0.0001635069,0.00006401745],"domain_scores_gemma":[0.9994659,0.0001776042,0.00009488062,0.00009373651,0.0001322848,0.00003572266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005495565,0.00008929383,0.09813979,0.001944819,0.0002225143,0.009909584,0.06356115,0.0007416643,0.08556165,0.1769672,0.01488572,0.5474271],"study_design_scores_gemma":[0.00003377301,0.0002138667,0.5397902,0.0006249203,0.000224491,0.01826754,0.03247739,0.002274799,0.01823841,0.05754568,0.3301646,0.0001444185],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7558476,0.006573602,0.02154448,0.001120993,0.0002500261,0.0001034418,0.003281967,0.0003477771,0.21093],"genre_scores_gemma":[0.9720331,0.001193049,0.003367837,0.0001742059,0.00005817973,0.00003592528,0.001496239,0.0001375215,0.02150393],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01499272,"threshold_uncertainty_score":0.05015564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1607156599015805,"score_gpt":0.3239841442838312,"score_spread":0.1632684843822507,"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."}}