{"id":"W6949379282","doi":"10.5281/zenodo.14281403","title":"\"KOFIYA\" ASARINING MUMTOZ ARAB TILI GRAMMATIKASI MANBALARI ORASIDA TUTGAN O'RNI VA AHAMIYATI","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":"","funders":"","keywords":"Middle East; Quarter (Canadian coin); Arabic; Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"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":[0.002717952,0.0003774521,0.0003466592,0.0006048084,0.006783639,0.004326616,0.001415724,0.0002121653,0.09932208],"category_scores_gemma":[0.00218612,0.0004029614,0.0001441613,0.003241041,0.0008008078,0.0008052116,0.001048568,0.0007878478,0.01254201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004931262,"about_ca_system_score_gemma":0.0000557003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006804279,"about_ca_topic_score_gemma":0.00005958754,"domain_scores_codex":[0.9954016,0.001019248,0.0007066172,0.0009317348,0.001053243,0.0008875112],"domain_scores_gemma":[0.9973884,0.0001542377,0.0002248471,0.0006165005,0.001299246,0.0003167817],"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":[0.00003123186,0.0002659077,0.00006408503,0.0004734425,0.000312277,0.00005846399,0.1037666,0.00001975421,0.0006479528,0.1904726,0.4840957,0.2197919],"study_design_scores_gemma":[0.0002797056,0.0001552473,0.001721875,0.0002275533,0.00006423488,0.00003494114,0.03448007,0.0003778563,0.0001088257,0.001008016,0.9611123,0.0004293509],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03540859,0.002808335,0.003053542,0.01583912,0.002902156,0.001347756,0.000385202,0.003320286,0.934935],"genre_scores_gemma":[0.960735,0.0009559335,0.0003889114,0.0005660988,0.001672307,3.018702e-7,0.001480207,0.001678633,0.03252258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9253265,"threshold_uncertainty_score":0.9998422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05857907855947266,"score_gpt":0.327561229716254,"score_spread":0.2689821511567813,"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."}}