{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002002093,0.0003231752,0.0003399829,0.0005308998,0.008807301,0.001756079,0.001672849,0.0001956793,0.1168701],"category_scores_gemma":[0.002382048,0.0003573532,0.0001256121,0.003158888,0.0008845862,0.0004702142,0.001285322,0.0005689074,0.006552061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004895583,"about_ca_system_score_gemma":0.0000490562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008987925,"about_ca_topic_score_gemma":0.0001073905,"domain_scores_codex":[0.99594,0.001038418,0.0006409308,0.0007830342,0.0008035954,0.0007940375],"domain_scores_gemma":[0.9968374,0.0001166846,0.0002861661,0.0006993297,0.001828339,0.0002320209],"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":[0.00004883551,0.0003743601,0.00008069319,0.0001927175,0.000216775,0.000009285957,0.03717611,0.00001287936,0.0007692354,0.1152718,0.705676,0.1401713],"study_design_scores_gemma":[0.0005188904,0.000101955,0.002885783,0.000125314,0.00005715419,0.000005342527,0.03465418,0.00004791053,0.0002079405,0.0007031224,0.9603607,0.0003316972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02015631,0.001112536,0.001954876,0.02161977,0.001663569,0.001202059,0.000312751,0.001187166,0.9507909],"genre_scores_gemma":[0.8969385,0.001170968,0.0003563121,0.002312197,0.0009685553,3.53305e-7,0.0015063,0.001109288,0.09563752],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8767822,"threshold_uncertainty_score":0.9998878,"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."}}