{"id":"W6969107353","doi":"10.5281/zenodo.6578314","title":"O'ZBEKISTONDA NOGIRONLIGI BO'LGAN SHAXSLARNING HUQUQ VA KAFOLATLARI","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":"Ontario Clinical Oncology Group","funders":"","keywords":"Identification (biology); Process (computing); Product (mathematics)","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":[0.002958136,0.0002815182,0.0002914321,0.0004416131,0.02284883,0.001380885,0.001848747,0.00009833858,0.2705387],"category_scores_gemma":[0.001673244,0.0003429371,0.0001264706,0.002577634,0.0005906928,0.000422988,0.002569055,0.0009463865,0.003100906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007827495,"about_ca_system_score_gemma":0.00004038869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008526294,"about_ca_topic_score_gemma":0.0000257637,"domain_scores_codex":[0.9948978,0.001720019,0.0005637252,0.0007690703,0.001239269,0.0008101219],"domain_scores_gemma":[0.9977009,0.00008576211,0.0003905672,0.0005916496,0.0009687815,0.0002623583],"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":[0.00006276088,0.0005747501,0.0001365613,0.00009490508,0.0001795763,0.00002915462,0.1464064,0.000111683,0.001038572,0.04833155,0.7167268,0.08630729],"study_design_scores_gemma":[0.0004185321,0.0002070638,0.0014443,0.00002274082,0.00003617994,0.00003085179,0.0764071,0.00009344788,0.00003329428,0.0002073139,0.9207426,0.0003565444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07830853,0.00179875,0.0007168641,0.01817664,0.002244788,0.001340354,0.0007264043,0.001758337,0.8949293],"genre_scores_gemma":[0.963159,0.0003247822,0.0001975141,0.001191278,0.001016931,3.590804e-7,0.002425473,0.001380101,0.03030456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8848504,"threshold_uncertainty_score":0.9999022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05102045957365798,"score_gpt":0.3103776563780153,"score_spread":0.2593571968043574,"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."}}