{"id":"W4411765608","doi":"10.69617/nuuz.v3i3.1.1713","title":"O‘ZBEKISTON MILLIY GERBARIYSI (TASH) NOYOB ILMIY OB’EKT SIFATIIDA SAQLANAYOTGAN ERYGINUM L. TURKUMI INVENTARIZATSIYASI NATIJALARI","year":2024,"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 Moncton","funders":"","keywords":"Zoology; Biology","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":[0.002083493,0.0009051064,0.0008951201,0.000734819,0.002159158,0.00146463,0.001103626,0.0007069522,0.01386291],"category_scores_gemma":[0.001048194,0.0009070873,0.0005419991,0.004023345,0.00119013,0.001079572,0.0003607102,0.001470304,0.001303684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009760139,"about_ca_system_score_gemma":0.001453845,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03043309,"about_ca_topic_score_gemma":0.03661785,"domain_scores_codex":[0.9933087,0.0006547568,0.001341412,0.001553245,0.001675021,0.00146684],"domain_scores_gemma":[0.9968365,0.0006096826,0.0003838338,0.0009383287,0.0007430962,0.0004884949],"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":[0.000049137,0.0007945143,0.02588013,0.001018836,0.00160377,0.0002779142,0.3025353,0.00002589278,0.00148151,0.2102104,0.424888,0.03123469],"study_design_scores_gemma":[0.0005037363,0.0001451849,0.01295279,0.0005133296,0.0003638272,0.00001651131,0.04807774,0.0003482029,0.0004401641,0.002562703,0.9328302,0.001245668],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3298753,0.07112061,0.001276443,0.09278864,0.04764718,0.003624154,0.0009138652,0.002543796,0.4502099],"genre_scores_gemma":[0.9134513,0.001546931,0.000865715,0.004231902,0.004172362,0.0001257853,0.0005124296,0.0001622011,0.07493144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5835759,"threshold_uncertainty_score":0.9995719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02547621817245476,"score_gpt":0.3646740796069459,"score_spread":0.3391978614344911,"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."}}