{"id":"W6892870929","doi":"10.5281/zenodo.14004894","title":"MOLIYAVIY XAVFSIZLIKNI TA'MINLASHDA SUG'URTANING ROLI","year":2024,"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":"Arius3D (Canada)","funders":"","keywords":"Context (archaeology); Focus (optics); Term (time)","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":[0.00226937,0.0002909607,0.0002623197,0.0004892313,0.006714941,0.003386448,0.001166296,0.0001653748,0.1544451],"category_scores_gemma":[0.001784603,0.0003136617,0.0001245732,0.002793112,0.0006660671,0.0006393006,0.0008756618,0.0006102995,0.01554003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004623481,"about_ca_system_score_gemma":0.00003903225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005250131,"about_ca_topic_score_gemma":0.00003476998,"domain_scores_codex":[0.9962784,0.0007930619,0.0005273767,0.0007699422,0.0008513703,0.0007798552],"domain_scores_gemma":[0.9978366,0.0001279571,0.0001489222,0.0004694891,0.001142238,0.000274745],"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":[0.00002211386,0.0001665109,0.00001574732,0.0002493808,0.0001962823,0.00003751153,0.09801642,0.00001500224,0.0008396615,0.1100441,0.6044576,0.1859397],"study_design_scores_gemma":[0.0002024737,0.0001143559,0.0005497484,0.0001796641,0.00004840357,0.00003073892,0.03285812,0.0002450011,0.00008426183,0.0004513627,0.9648989,0.0003369302],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03027024,0.00429932,0.001371152,0.01428602,0.002604405,0.0009031541,0.0003647932,0.002540783,0.9433601],"genre_scores_gemma":[0.9601212,0.001419613,0.0001998598,0.0005937042,0.002158708,1.590494e-7,0.0009564175,0.001661766,0.03288861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9298509,"threshold_uncertainty_score":0.9999316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05293210348444787,"score_gpt":0.329261398440261,"score_spread":0.2763292949558132,"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."}}