{"id":"W7115575656","doi":"10.5281/zenodo.17934867","title":"BUILDING AN INCLUSIVE SOCIETY IN UZBEKISTAN: LOCALIZING INTERNATIONAL EXPERIENCES AND IMPROVING THE NATIONAL STRATEGY","year":2025,"lang":"","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":"Process (computing); Foundation (evidence); State (computer science); Sustainable development; Social needs; Inclusion (mineral)","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":[0.002846347,0.000593369,0.0005261766,0.001201503,0.02420109,0.008472106,0.0007271948,0.001459468,0.002794937],"category_scores_gemma":[0.001688835,0.0002288808,0.000278648,0.001396198,0.006800401,0.006124316,0.008756689,0.001682029,0.0004280821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006297509,"about_ca_system_score_gemma":0.007228424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01617298,"about_ca_topic_score_gemma":0.04317395,"domain_scores_codex":[0.9975688,0.001214987,0.0000911462,0.0001211424,0.000171724,0.0008322007],"domain_scores_gemma":[0.9995266,0.00009447419,0.00007163179,0.00004119222,0.00007594328,0.0001901584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009932978,0.0001915295,0.01174222,0.0002685843,0.00001566025,0.002792354,0.8417174,0.0002803384,0.002519758,0.05774121,0.003031367,0.07960033],"study_design_scores_gemma":[0.000004520253,0.00008033741,0.005854688,0.0002325101,0.00001385453,0.0005312884,0.9020312,0.00008535633,0.0005926215,0.002881468,0.08767089,0.00002125798],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8967724,0.003500085,0.002422294,0.005290611,0.0003191704,0.00005280864,0.00002075249,0.00004449776,0.09157738],"genre_scores_gemma":[0.9924986,0.0009029409,0.001227881,0.0003101893,0.00001185922,0.00001716803,0.00001364832,0.00001458292,0.005003183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02420109,"threshold_uncertainty_score":0.04569185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04118249524677843,"score_gpt":0.3604994489713025,"score_spread":0.3193169537245241,"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."}}