{"id":"W4411316477","doi":"10.69617/nuuz.v3i3.1.7349","title":"XAR XIL ME’YORDAGI AZOTLI O‘G‘ITLARNING TUPROQ TARKIBIDAGI NITRATLI AZOT VA INGICHKA TOLALI PAXTA HOSILIGA TA’SIRI","year":2025,"lang":"uz","type":"article","venue":"ŬzMU habarlari.","topic":"Education, Innovation and Language Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Computer science","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002892112,0.0008286898,0.0009818436,0.0006777768,0.003279823,0.0009047189,0.001218723,0.0006804576,0.006468007],"category_scores_gemma":[0.002638622,0.0008620407,0.0004168339,0.004250274,0.001235991,0.0008374223,0.0004527505,0.00132698,0.0003789521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005075947,"about_ca_system_score_gemma":0.001396522,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01596658,"about_ca_topic_score_gemma":0.01588666,"domain_scores_codex":[0.9936246,0.0008238275,0.001438212,0.001374217,0.001234154,0.001505044],"domain_scores_gemma":[0.9961079,0.0006308238,0.000668917,0.001010997,0.001245646,0.0003357235],"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":[0.0001270048,0.001504426,0.2115591,0.0007585871,0.001700882,0.00008528139,0.2814593,0.00005652265,0.002744943,0.252285,0.2015059,0.04621292],"study_design_scores_gemma":[0.001414931,0.0002348103,0.04714483,0.000660523,0.0004519825,0.000005980454,0.1654014,0.0001961262,0.001429528,0.003566855,0.7779658,0.001527186],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5076578,0.01783669,0.001263145,0.05004549,0.01234383,0.001974968,0.0001232778,0.00093939,0.4078154],"genre_scores_gemma":[0.9257289,0.0009691566,0.001000155,0.005318005,0.001723853,0.0001310761,0.0001035895,0.00008380328,0.06494143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5764599,"threshold_uncertainty_score":0.999383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01879871478288086,"score_gpt":0.3656356190458923,"score_spread":0.3468369042630114,"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."}}