{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004988636,0.0003301087,0.0002568994,0.0005057551,0.001151695,0.001275141,0.0003133215,0.0003133298,0.01783116],"category_scores_gemma":[0.0004451722,0.000178864,0.0002662531,0.001021225,0.0005621329,0.00054959,0.001009604,0.0006033326,0.002258257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001255472,"about_ca_system_score_gemma":0.001977265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01746956,"about_ca_topic_score_gemma":0.09673679,"domain_scores_codex":[0.9997891,0.00003283843,0.00001387576,0.00003655567,0.00006654848,0.00006122099],"domain_scores_gemma":[0.9996434,0.00007432318,0.00007050797,0.00003095918,0.0001147999,0.00006598209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00131779,0.0005154474,0.2909835,0.001294617,0.0001495105,0.002374247,0.03536963,0.0003392537,0.07320412,0.01432016,0.01347386,0.566658],"study_design_scores_gemma":[0.00004855325,0.0006937772,0.6811664,0.0003373959,0.0001351078,0.0007448876,0.03973518,0.0002224099,0.01832078,0.002478602,0.2560597,0.00005730947],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8492224,0.001735238,0.001498781,0.001709817,0.0001782548,0.00008856795,0.0008658065,0.00007579795,0.1446253],"genre_scores_gemma":[0.8934329,0.001311376,0.003975693,0.0003319205,0.00002756877,0.0000663067,0.0008942012,0.00003288825,0.09992704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01783116,"threshold_uncertainty_score":0.05965114,"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."}}