{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002159277,0.0003520529,0.0003875772,0.0009939347,0.002099188,0.005346333,0.0006571665,0.001042694,0.0237],"category_scores_gemma":[0.003115892,0.0001793322,0.0005415688,0.0007620194,0.00251,0.00285945,0.003871169,0.002406376,0.00843055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003099928,"about_ca_system_score_gemma":0.003910039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003228204,"about_ca_topic_score_gemma":0.005377498,"domain_scores_codex":[0.9988688,0.0003188077,0.00007218407,0.0001525702,0.0003526162,0.0002350692],"domain_scores_gemma":[0.9976336,0.00047716,0.0002634311,0.0003147933,0.000799053,0.0005119687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006391582,0.000417019,0.03386441,0.001068953,0.00007831962,0.0009173479,0.05471585,0.0004094308,0.01808521,0.402157,0.04183489,0.4458124],"study_design_scores_gemma":[0.00004304935,0.0003224149,0.04042141,0.0005454951,0.00006852329,0.001299659,0.02238039,0.0004164124,0.006193266,0.06154528,0.8666793,0.00008477627],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2022613,0.01284404,0.03140638,0.01843148,0.001610411,0.0002504351,0.001036451,0.0008772537,0.7312823],"genre_scores_gemma":[0.6616003,0.00658274,0.02237826,0.002770709,0.0005271204,0.0003537745,0.001290617,0.0005172479,0.3039792],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0237,"threshold_uncertainty_score":0.07928437,"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."}}