{"id":"W7102388993","doi":"10.5281/zenodo.17472047","title":"TEMURIYLAR SULOLASINING O'ZBEK DAVLATCHILIGIGA QO'SHGAN HISSASI","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":"Université du Québec en Outaouais","funders":"","keywords":"Term (time); Identification (biology); 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":[0.002228038,0.000284294,0.0003108587,0.0005587423,0.009774535,0.001679187,0.001463126,0.0001702897,0.05687777],"category_scores_gemma":[0.003027431,0.0003219493,0.000110244,0.002995699,0.0008005576,0.0004640686,0.001106449,0.0005372865,0.003125353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000445754,"about_ca_system_score_gemma":0.00005009486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004953297,"about_ca_topic_score_gemma":0.00004457278,"domain_scores_codex":[0.9962952,0.0009742067,0.000599004,0.0007216764,0.0006808061,0.0007291391],"domain_scores_gemma":[0.9971806,0.0001208647,0.0002585303,0.0006012376,0.001626529,0.000212237],"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":[0.00004604724,0.000355888,0.0001594303,0.0001835773,0.0002166648,0.00001006451,0.0621274,0.00001083785,0.0006129391,0.12187,0.6126006,0.2018066],"study_design_scores_gemma":[0.0004584937,0.0000908818,0.003334739,0.0001508521,0.00004711529,0.000006875847,0.04628378,0.00003614439,0.0001391173,0.0006313283,0.9485334,0.0002873073],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04062243,0.001317382,0.0008557739,0.01821452,0.001356853,0.0008214368,0.0001668168,0.001105473,0.9355393],"genre_scores_gemma":[0.9487184,0.0008783237,0.0003028523,0.00142829,0.0008398846,1.484846e-7,0.0009653661,0.0009429056,0.04592386],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.908096,"threshold_uncertainty_score":0.9999232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04114477545362005,"score_gpt":0.3261106888141059,"score_spread":0.2849659133604859,"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."}}