{"id":"W6931301430","doi":"10.5281/zenodo.6448565","title":"SOLIQ TIZIMI AXBOROT TEXNOLOGIYALARIDA AXBOROT XAVFSIZLIGINI TA'MINLASH MASALALARI","year":2022,"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":"Custom Security Industries (Canada)","funders":"","keywords":"Work (physics); Product (mathematics); Identification (biology); Process (computing)","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":[0.003241854,0.0003692048,0.00037931,0.0005455192,0.01790088,0.001406503,0.002394865,0.0001578651,0.2710941],"category_scores_gemma":[0.002177122,0.000432849,0.0001481465,0.002993265,0.0009723867,0.0004499438,0.003373978,0.001111893,0.005462325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008019186,"about_ca_system_score_gemma":0.00006374111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007975893,"about_ca_topic_score_gemma":0.00003241513,"domain_scores_codex":[0.9939298,0.001984648,0.000693998,0.0009587342,0.001370783,0.001062043],"domain_scores_gemma":[0.9969891,0.0001280512,0.0004506663,0.0008014793,0.001321507,0.0003092178],"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":[0.00007624557,0.000659003,0.0001303385,0.00008382271,0.0002107558,0.00002961966,0.05617222,0.00005674224,0.0007189214,0.06172318,0.802052,0.07808718],"study_design_scores_gemma":[0.0005736964,0.0003468246,0.002366646,0.00002357146,0.0000454873,0.00004610306,0.05767599,0.00006587811,0.00005852392,0.0004099849,0.9379363,0.0004509655],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04884867,0.001499171,0.0006594966,0.03733923,0.00312987,0.002320718,0.001307542,0.002414201,0.9024811],"genre_scores_gemma":[0.9598416,0.0007652857,0.000287704,0.002118917,0.00114609,0.000001293139,0.002404097,0.00162542,0.03180959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9109929,"threshold_uncertainty_score":0.9998123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05294444632303875,"score_gpt":0.3080168283543845,"score_spread":0.2550723820313458,"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."}}