{"id":"W2979344993","doi":"10.1162/ling_a_00366","title":"Diagnosing Object Agreement vs. Clitic Doubling: An Inuit Case Study","year":2019,"lang":"en","type":"article","venue":"Linguistic Inquiry","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clitic; Agreement; Morpheme; Linguistics; Mirroring; Object (grammar); Syntax; Morphology (biology); History; Computer science; Psychology; Communication; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009286057,0.0003787745,0.0004972905,0.0002821845,0.0005404981,0.000658412,0.000314023,0.00009248866,0.002622178],"category_scores_gemma":[0.00209775,0.0003745416,0.000109271,0.00008174287,0.0001857464,0.0001491665,0.0001404983,0.0003187219,0.0007557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002160658,"about_ca_system_score_gemma":0.000158564,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009093454,"about_ca_topic_score_gemma":0.008978463,"domain_scores_codex":[0.9971447,0.0002013912,0.0008230519,0.000699137,0.0005481438,0.00058355],"domain_scores_gemma":[0.9975047,0.0005400514,0.0003090322,0.0008606869,0.0006089441,0.0001765849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005883141,0.0009801029,0.01173093,0.0001451148,0.0001453549,0.002888328,0.8081207,0.00006276576,0.000005817035,0.1743282,0.00007723907,0.001456608],"study_design_scores_gemma":[0.006754606,0.004811608,0.00349164,0.0006136865,0.001318396,0.0007254691,0.8830779,0.0136224,0.0001007835,0.06881715,0.01378142,0.002884985],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9732715,0.00003720607,0.000147776,0.0002469108,0.01747172,0.001137301,0.00004185543,0.0002451202,0.007400613],"genre_scores_gemma":[0.9852269,0.0000015763,0.0003541781,0.0003588444,0.01265025,0.00004887758,0.00004608857,0.00007507457,0.001238164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.105511,"threshold_uncertainty_score":0.9998707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07157312559856567,"score_gpt":0.3120867509820009,"score_spread":0.2405136253834353,"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."}}