{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001030572,0.0004623479,0.0003658748,0.0005558716,0.0022309,0.003715824,0.0006099479,0.000955735,0.04576434],"category_scores_gemma":[0.001315548,0.0002824867,0.0003871722,0.0004890187,0.001677652,0.002042083,0.00285141,0.001925625,0.00974206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002584812,"about_ca_system_score_gemma":0.002355456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005581423,"about_ca_topic_score_gemma":0.01337394,"domain_scores_codex":[0.9993849,0.0001166984,0.00003615136,0.0001275646,0.0001884425,0.0001462202],"domain_scores_gemma":[0.9993933,0.0001289594,0.00008696983,0.00006790311,0.0002223697,0.0001003351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001251194,0.0004672942,0.0200553,0.001996309,0.000113175,0.002269915,0.03772811,0.000639195,0.0569799,0.3314811,0.09742609,0.4495925],"study_design_scores_gemma":[0.00003243083,0.0002589561,0.01180574,0.0003065649,0.00003907842,0.0005593874,0.01122394,0.0003379706,0.01532288,0.01040909,0.9496514,0.00005255808],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1156339,0.007545554,0.007754923,0.0137047,0.001492142,0.0001274931,0.0005051114,0.0003587468,0.8528774],"genre_scores_gemma":[0.4851635,0.004906946,0.01116002,0.002576995,0.000266349,0.00016072,0.0005268186,0.000240026,0.4949986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04576434,"threshold_uncertainty_score":0.153097,"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."}}