{"id":"W7101662353","doi":"10.5281/zenodo.17467908","title":"OʻZBEK JADIDCHILARINING JAMIYATGA QOʻSHGAN 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":"Identification (biology); Limiting; Process (computing)","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":[0.00203747,0.000245846,0.0002682001,0.0005397372,0.009623485,0.001572496,0.001375152,0.000155881,0.07439444],"category_scores_gemma":[0.002756743,0.0002812393,0.00009688512,0.002749417,0.0007313006,0.0003899478,0.001095053,0.0005133175,0.003329832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004142325,"about_ca_system_score_gemma":0.00003719446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004584989,"about_ca_topic_score_gemma":0.00003771062,"domain_scores_codex":[0.9967718,0.000836356,0.0005140892,0.0006370799,0.0005806149,0.0006600301],"domain_scores_gemma":[0.9974868,0.00009500352,0.0002204208,0.000536184,0.00147265,0.0001889244],"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":[0.00003173136,0.0002583788,0.00008917563,0.0001145339,0.0001659139,0.000006573182,0.04690656,0.0000096036,0.0003337749,0.1264433,0.5272483,0.2983921],"study_design_scores_gemma":[0.0004217977,0.00008057804,0.004506318,0.0001166969,0.00004272784,0.000006076356,0.03927794,0.0000476698,0.00008624783,0.000502056,0.954668,0.0002439118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01375045,0.0007712876,0.001795009,0.01445926,0.001164478,0.0006159815,0.0001025024,0.0008730474,0.966468],"genre_scores_gemma":[0.9282054,0.0008786689,0.0005251396,0.001969746,0.0009268941,1.54624e-7,0.001053527,0.001045479,0.06539499],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9144549,"threshold_uncertainty_score":0.999964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04527058982310669,"score_gpt":0.3272683212094097,"score_spread":0.281997731386303,"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."}}