{"id":"W6968136666","doi":"10.5281/zenodo.15598275","title":"NEMIS VA O'ZBEK TILLARIDA OLMOSHLARNING ANAFORIK VA KATAFORIK XUSUSIYATLARI","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":"","funders":"","keywords":"Government (linguistics); Term (time); Quarter (Canadian coin)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"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":[0.002391782,0.0003333075,0.0003544326,0.0005833934,0.01056022,0.002180953,0.001640709,0.0002250276,0.06584493],"category_scores_gemma":[0.003811874,0.0003740171,0.000131926,0.003827465,0.000706788,0.0005659627,0.001414895,0.0006912089,0.002957762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000558037,"about_ca_system_score_gemma":0.00006440889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009779593,"about_ca_topic_score_gemma":0.00006663144,"domain_scores_codex":[0.9959642,0.0009068736,0.0006584415,0.0008007782,0.0007968863,0.0008728683],"domain_scores_gemma":[0.9964086,0.0001289424,0.0003305216,0.0006776315,0.002203648,0.0002506372],"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":[0.00005605824,0.0003112527,0.0001636032,0.0002461533,0.0002796855,0.00001501073,0.05164334,0.00003755339,0.0007130898,0.08564249,0.7007449,0.1601469],"study_design_scores_gemma":[0.0005262894,0.0001014979,0.002088344,0.0001298437,0.00006553556,0.000008190903,0.04151187,0.0001226842,0.0001414045,0.0004225594,0.954536,0.000345744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02972022,0.001467749,0.002256305,0.01352116,0.002031947,0.001052541,0.0002453693,0.001248289,0.9484564],"genre_scores_gemma":[0.919096,0.001775088,0.0004152103,0.001978032,0.001550949,3.016132e-7,0.002100728,0.001298753,0.07178497],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8893757,"threshold_uncertainty_score":0.9998712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03681667956627957,"score_gpt":0.3223235729418086,"score_spread":0.285506893375529,"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."}}