{"id":"W7085110520","doi":"10.5281/zenodo.17290531","title":"\"NAVODIR UL-VAQOE\" – MA'NAVIY MEROS VA TARIXIY MANBA SIFATIDA","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":"ASTER","funders":"","keywords":"Work (physics); Field (mathematics); Government (linguistics)","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":[0.0009344416,0.0003999191,0.0003205775,0.0004728537,0.003473203,0.003205002,0.0004480202,0.001065304,0.03942106],"category_scores_gemma":[0.001417444,0.0001877697,0.0002538328,0.0004948741,0.001384581,0.001214902,0.002707815,0.002115204,0.01062274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002407152,"about_ca_system_score_gemma":0.002585778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008723359,"about_ca_topic_score_gemma":0.02007381,"domain_scores_codex":[0.9992931,0.0001309246,0.00002457876,0.0001036268,0.0002470586,0.000200786],"domain_scores_gemma":[0.9994797,0.00008634997,0.00004836509,0.00005197648,0.000191975,0.0001417152],"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":[0.0006455575,0.0001302965,0.009113933,0.0007563694,0.00004341127,0.001546855,0.02202727,0.0003704264,0.01171732,0.2609965,0.4031427,0.2895094],"study_design_scores_gemma":[0.000009271076,0.00003557256,0.003124405,0.00008068493,0.000005305345,0.0003353679,0.002653208,0.00008014473,0.001696318,0.002472786,0.9894913,0.00001562057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06337436,0.01460169,0.006672628,0.04001939,0.008860187,0.0001240619,0.0007356706,0.0006625068,0.8649496],"genre_scores_gemma":[0.2418627,0.004295615,0.003305411,0.004881534,0.0007444029,0.00006552684,0.0005069493,0.0003348586,0.7440031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03942106,"threshold_uncertainty_score":0.1318765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04119537861185333,"score_gpt":0.3251404987308619,"score_spread":0.2839451201190085,"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."}}