{"id":"W4407846107","doi":"10.3390/languages10030035","title":"Manner Affixes and Event Decomposition","year":2025,"lang":"en","type":"article","venue":"Languages","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vetenskapsrådet","keywords":"Transitive relation; Linguistics; Event (particle physics); Computer science; Affix; Verb; Terminology; Judgement; Causative; Scope (computer science); Generative grammar; Natural language processing; Artificial intelligence; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006174218,0.00005818666,0.00007102971,0.00005826334,0.0001164764,0.00009367102,0.00003814692,0.00001976543,0.0003706646],"category_scores_gemma":[0.00007292235,0.00005097074,0.00001869723,0.00001197305,0.00003901274,0.00003927225,0.00002355928,0.00003476596,0.00002866789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001227417,"about_ca_system_score_gemma":0.000006117288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005645057,"about_ca_topic_score_gemma":0.00109046,"domain_scores_codex":[0.9996617,0.00001740324,0.00009051962,0.00009851062,0.00005318878,0.00007870847],"domain_scores_gemma":[0.9997773,0.00005256886,0.0000379789,0.00008297098,0.0000356266,0.0000135441],"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":[0.000005410599,0.00002436054,0.000708183,0.00003910654,0.00002708525,0.000005279429,0.01582738,0.000002689579,0.0001911129,0.9781505,0.0008610246,0.004157891],"study_design_scores_gemma":[0.002244905,0.0002070648,0.09029068,0.0008230066,0.0005128888,0.0000169073,0.09184036,0.003561339,0.007559348,0.6671185,0.1347397,0.001085293],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8660817,0.000975755,0.000920948,0.02130724,0.001390044,0.0001835697,0.00002472361,0.0001766066,0.1089394],"genre_scores_gemma":[0.9915053,0.00001105368,0.0003194639,0.0003404291,0.0004367918,0.000006019448,0.00001899522,0.000005343344,0.007356558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.311032,"threshold_uncertainty_score":0.4058517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009680727166221998,"score_gpt":0.2718647181664695,"score_spread":0.2621839910002475,"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."}}