{"id":"W7115898998","doi":"10.5281/zenodo.17966154","title":"INGLIZ VA OʻZBEK TILIDAGI ISH YURITISH TERMINLARI TARJIMA LUGʻATLARIDA BERILISHIDAGI AYRIM MUAMMOLAR TASNIFI","year":2025,"lang":"uz","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Education, Innovation and Language Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Northwest Territories","funders":"","keywords":"Identification (biology); Process (computing); Focus (optics); Perspective (graphical); Context (archaeology)","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":[0.002595682,0.0004018164,0.000446667,0.0006473406,0.009161672,0.003467138,0.001914129,0.0002909264,0.08399077],"category_scores_gemma":[0.00436345,0.0004868996,0.0001612411,0.003368088,0.001166566,0.0009063899,0.001686605,0.0008471559,0.002946227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000588082,"about_ca_system_score_gemma":0.00008345189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001853309,"about_ca_topic_score_gemma":0.0001580845,"domain_scores_codex":[0.9949517,0.001247784,0.0008378536,0.001032169,0.0009417485,0.000988693],"domain_scores_gemma":[0.9959276,0.0001320799,0.0003483205,0.0008392772,0.002450864,0.0003019057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004897588,0.0004601364,0.0002186242,0.0002484325,0.000212832,0.00003437202,0.03513128,0.000004684081,0.0004344508,0.02744394,0.787773,0.1479893],"study_design_scores_gemma":[0.0006307923,0.0001225564,0.005441423,0.0001951064,0.00007675236,0.00001913689,0.03256264,0.00005294876,0.0001662154,0.0006079287,0.9596832,0.0004412787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0579864,0.0022222,0.0006761052,0.01186859,0.002510264,0.001475254,0.0006382869,0.001420311,0.9212026],"genre_scores_gemma":[0.9187873,0.001442292,0.0004315491,0.002821984,0.001507447,6.291912e-7,0.002713615,0.00143214,0.07086304],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8608009,"threshold_uncertainty_score":0.9997582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03116316462613764,"score_gpt":0.312507970196459,"score_spread":0.2813448055703214,"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."}}