{"id":"W7136741570","doi":"10.5755/j01","title":"Angliškos konstrukcijos su deverbatyviniais daiktavardžiais BITE ir SNACK gimtosiose anglų kalbos atmainose: tekstyno duomenimis paremtas tyrimas","year":2024,"lang":"en","type":"other","venue":"Vytautas Magnus University","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Noun; Variation (astronomy); Variety (cybernetics); Verb; Semantics (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":[0.0005159535,0.0002651711,0.0002114789,0.0004610402,0.001160305,0.001909956,0.0001923527,0.0002822834,0.005340168],"category_scores_gemma":[0.001040695,0.0001553989,0.0001711038,0.0005037498,0.001254188,0.001483994,0.00112808,0.0005990458,0.001034788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008741877,"about_ca_system_score_gemma":0.0007583542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005338478,"about_ca_topic_score_gemma":0.01204226,"domain_scores_codex":[0.9997279,0.00007266303,0.00002077832,0.00006060996,0.00006862272,0.00004940155],"domain_scores_gemma":[0.9995286,0.0001546539,0.0001270771,0.00003488689,0.0001011645,0.00005350447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008393166,0.00028607,0.1776702,0.001460144,0.00008867948,0.006052963,0.2773419,0.0003312216,0.04868523,0.1559614,0.01136106,0.3199219],"study_design_scores_gemma":[0.00004774024,0.0002625361,0.3222515,0.0007039185,0.0001411033,0.005451316,0.150235,0.001100025,0.009493588,0.01130013,0.4989137,0.00009949655],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9052358,0.003055408,0.002774898,0.0006862268,0.000111622,0.00002625407,0.000193882,0.00006390702,0.08785211],"genre_scores_gemma":[0.9830675,0.00127853,0.00118804,0.00007880755,0.00002958433,0.00001300436,0.0001668704,0.0000557432,0.01412193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005340168,"threshold_uncertainty_score":0.01786458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010556706346269,"score_gpt":0.2086576255717764,"score_spread":0.1981009192255074,"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."}}