{"id":"W4413093164","doi":"10.1007/s11049-025-09674-4","title":"Agreeing against the odds: When clitic clusters trigger agreement","year":2025,"lang":"en","type":"article","venue":"Natural Language & Linguistic Theory","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Amorfix (Canada)","funders":"University of Toronto","keywords":"Clitic; Pronoun; Realization (probability); Linguistics; Argument (complex analysis); Ergative case; Agreement; Variation (astronomy); Relation (database); Physics; Computer science; Mathematics; Philosophy; Combinatorics; Astrophysics; Database","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001260539,0.0003362408,0.0003442255,0.0002085913,0.000709433,0.0003751937,0.0005793521,0.00009705006,0.001019547],"category_scores_gemma":[0.007414403,0.0002319743,0.0002080372,0.00008280587,0.0003542591,0.00006024985,0.0001691265,0.000547753,0.0001854944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001911784,"about_ca_system_score_gemma":0.0001042186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007760195,"about_ca_topic_score_gemma":0.001022557,"domain_scores_codex":[0.9977989,0.0002769514,0.0005829699,0.0004261505,0.0003998945,0.0005151833],"domain_scores_gemma":[0.9971324,0.001570259,0.0002275889,0.0006399131,0.0003646574,0.00006513516],"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":[0.00007469492,0.00004513258,0.00001756609,0.00008867048,0.0001690841,0.00005383782,0.1031176,0.000009041557,0.0000611446,0.8818911,0.0007084528,0.01376373],"study_design_scores_gemma":[0.00231518,0.00009754021,0.0003787857,0.001043676,0.0009436355,0.000009058401,0.09406642,0.004950002,0.0004495382,0.7812357,0.1133568,0.001153646],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1288561,0.01555833,0.003959023,0.02408785,0.04276088,0.002283577,0.0001789577,0.0009457808,0.7813695],"genre_scores_gemma":[0.9547,0.00001058075,0.0001936062,0.003861885,0.004031318,0.00002748219,0.00007971071,0.00003425935,0.03706118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8258439,"threshold_uncertainty_score":0.9998937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01055795328439523,"score_gpt":0.2456623188956575,"score_spread":0.2351043656112623,"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."}}