{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005631649,0.0002584629,0.000167898,0.0009136334,0.0006464361,0.001697401,0.0003265843,0.0002581351,0.004647878],"category_scores_gemma":[0.001608783,0.0002700993,0.0003677925,0.0006960824,0.001654301,0.001844952,0.001278978,0.0005876272,0.00032723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006380305,"about_ca_system_score_gemma":0.0003620002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003966465,"about_ca_topic_score_gemma":0.005414801,"domain_scores_codex":[0.9995539,0.0001320476,0.00002327886,0.0001492812,0.0000763256,0.00006518937],"domain_scores_gemma":[0.9993562,0.0003316779,0.0001126497,0.0001028816,0.00006189776,0.00003464221],"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":[0.0007715986,0.0001513505,0.1733248,0.0004444079,0.0001719262,0.001915724,0.07584947,0.002869264,0.2056326,0.3719329,0.001122227,0.1658136],"study_design_scores_gemma":[0.00006108998,0.0002563974,0.7281808,0.0001575446,0.0002184001,0.003016678,0.02830882,0.01226134,0.02946231,0.15212,0.04580369,0.0001529145],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9368372,0.0001684126,0.02692562,0.0001130298,0.00001672945,0.00003048326,0.000207976,0.0001159503,0.0355846],"genre_scores_gemma":[0.9931433,0.00005438675,0.004670714,0.00001809718,0.000004465554,0.000007704837,0.0001537154,0.00004614912,0.001901345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004647878,"threshold_uncertainty_score":0.01554871,"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."}}