{"id":"W7112037963","doi":"","title":"Inherent Case Features and Case Assignment in Double Object Constructions in Kazym Khanty","year":2025,"lang":"en","type":"other","venue":"Qucosa (Saxon State and University Library Dresden)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Argument (complex analysis); Generalization; Object (grammar); Feature (linguistics); Noun; Oblique case; Contrast (vision)","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":[0.001567396,0.0003303848,0.0005435927,0.001397792,0.003761359,0.004061773,0.0008088563,0.0009748636,0.005185687],"category_scores_gemma":[0.004126689,0.0005898342,0.000354385,0.001520926,0.007689649,0.007575885,0.00465883,0.001536221,0.0004299728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002603819,"about_ca_system_score_gemma":0.0008841184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004181787,"about_ca_topic_score_gemma":0.006133968,"domain_scores_codex":[0.9983408,0.0004988824,0.0001377449,0.0004239176,0.0003332061,0.0002654155],"domain_scores_gemma":[0.9985796,0.0006631318,0.0002619755,0.0003224582,0.0001134283,0.0000593798],"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":[0.0002662803,0.00006875716,0.02310653,0.0002513555,0.00002972775,0.002443736,0.1350879,0.0005109925,0.01290796,0.771205,0.0005436282,0.05357817],"study_design_scores_gemma":[0.0001467735,0.0003209366,0.1291457,0.0004005939,0.0001770422,0.009952853,0.1390382,0.006245735,0.01868136,0.5853471,0.1102526,0.0002911446],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9128855,0.00050854,0.01809786,0.0004456732,0.00004971097,0.00003167316,0.00005930188,0.0001234408,0.06779823],"genre_scores_gemma":[0.9975743,0.00005319943,0.00125931,0.00001361567,0.00000853711,0.000005892654,0.00001611052,0.00002593648,0.001043046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005185687,"threshold_uncertainty_score":0.01889211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247309400949974,"score_gpt":0.2234507721472308,"score_spread":0.210977678137731,"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."}}