{"id":"W6893829985","doi":"10.5281/zenodo.5578846","title":"Clitics or agreement markers: A view from Tigrinya clausal possession and modal necessity","year":2021,"lang":"en","type":"book-chapter","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Possession (linguistics); Object (grammar); Modal; Agreement; Head (geology); Element (criminal law)","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000444316,0.0003166265,0.0003697103,0.0001780406,0.001962716,0.001892511,0.0005172432,0.0001681348,0.1234843],"category_scores_gemma":[0.0006281585,0.0002998532,0.00007634577,0.00003364332,0.0002904493,0.0001789058,0.00125731,0.0004578627,0.003213142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001914028,"about_ca_system_score_gemma":0.00001775784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000217897,"about_ca_topic_score_gemma":0.00004562398,"domain_scores_codex":[0.9978129,0.0001886044,0.0004809809,0.0006365804,0.000569051,0.0003118731],"domain_scores_gemma":[0.9979731,0.00009045769,0.0002976291,0.0005215466,0.0009325332,0.0001847375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002121404,0.0001330068,0.000001907665,0.000418772,0.0003305838,0.0001514358,0.01044875,0.000002145301,0.00006672309,0.864776,0.04685765,0.07660095],"study_design_scores_gemma":[0.000452008,0.0001903941,0.00006421571,0.0005545201,0.000137241,0.00002463844,0.001104661,0.00019417,0.000011644,0.01911311,0.977789,0.0003643679],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00155825,0.0004536867,0.0008069068,0.003589971,0.0009150884,0.0006749431,0.001876834,0.0005041676,0.9896201],"genre_scores_gemma":[0.149767,0.003196592,0.001808375,0.001205789,0.008765348,2.542046e-7,0.02929989,0.006321047,0.7996357],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9309314,"threshold_uncertainty_score":0.9999453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0642881765539764,"score_gpt":0.2507184299824109,"score_spread":0.1864302534284345,"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."}}