{"id":"W6949563090","doi":"10.5281/zenodo.15277369","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001209387,0.001194039,0.0005475623,0.00148377,0.003140924,0.005274957,0.0008334165,0.001635092,0.04689991],"category_scores_gemma":[0.004926469,0.000482547,0.0005861528,0.002184993,0.002751946,0.007539898,0.003698029,0.002596088,0.01823972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002898508,"about_ca_system_score_gemma":0.00204105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01001383,"about_ca_topic_score_gemma":0.01304863,"domain_scores_codex":[0.998749,0.0004774553,0.00009866198,0.0002988882,0.0002566728,0.0001191949],"domain_scores_gemma":[0.998161,0.0007579004,0.0001298115,0.0002814393,0.0005620637,0.000107709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.000507759,0.00005579782,0.006739983,0.001819692,0.00007857686,0.00138979,0.08050048,0.000392151,0.01787376,0.3421851,0.421299,0.1271579],"study_design_scores_gemma":[0.000007090451,0.00001366215,0.002607469,0.0002218843,0.00001965208,0.0005076812,0.007917619,0.0007318007,0.002009585,0.01451538,0.9714064,0.00004176683],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06576835,0.007024704,0.1524458,0.02625877,0.00598248,0.0004686391,0.01939252,0.007878164,0.7147806],"genre_scores_gemma":[0.4816093,0.004239479,0.07298388,0.004653551,0.001285488,0.0005874482,0.02025782,0.009482815,0.4049003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04689991,"threshold_uncertainty_score":0.1568958,"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."}}