{"id":"W3198850996","doi":"10.1162/ling_a_00443","title":"Case as an Anaphor Agreement Effect: Evidence from Inuktitut","year":2021,"lang":"en","type":"article","venue":"Linguistic Inquiry","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Linguistics; Agreement; Philosophy; Computer science","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":[0.00249684,0.0002872553,0.0004850696,0.00208522,0.00536397,0.003468463,0.001598177,0.0008835652,0.007004439],"category_scores_gemma":[0.01474197,0.0003873042,0.0002805146,0.00397147,0.004995969,0.003365949,0.004150441,0.001030638,0.0006024563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003135773,"about_ca_system_score_gemma":0.002117515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2436157,"about_ca_topic_score_gemma":0.3386936,"domain_scores_codex":[0.9971985,0.0006580272,0.0002041259,0.0006157453,0.000919625,0.000404031],"domain_scores_gemma":[0.9908012,0.004009754,0.001322187,0.001664982,0.00180545,0.0003964927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001071299,0.0003435223,0.3436845,0.0008572332,0.0002257558,0.003365601,0.389802,0.000333752,0.02105334,0.1759173,0.004598117,0.05874754],"study_design_scores_gemma":[0.00006364578,0.0001585385,0.6591767,0.0004459147,0.0002539776,0.004882822,0.224016,0.001391189,0.0128832,0.03402631,0.06249635,0.0002052331],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9091039,0.0004713191,0.001543707,0.0006335582,0.00003466559,0.0000279198,0.0002845929,0.00002905947,0.08787132],"genre_scores_gemma":[0.9972621,0.0001035362,0.0004192532,0.00009429422,0.000007390634,0.000007839511,0.0001411341,0.00002871339,0.001935669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2436157,"threshold_uncertainty_score":0.4843953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07263871497636243,"score_gpt":0.3094470192901338,"score_spread":0.2368083043137714,"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."}}