{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000956308,0.000776986,0.0003438709,0.0008502408,0.002322605,0.004862618,0.0006087872,0.0008536018,0.05004113],"category_scores_gemma":[0.002386409,0.0003604861,0.0003734128,0.0008155485,0.002413644,0.003120722,0.003021597,0.002120401,0.0175784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002478887,"about_ca_system_score_gemma":0.00264282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006147364,"about_ca_topic_score_gemma":0.01343179,"domain_scores_codex":[0.9991198,0.0002557819,0.00005760384,0.0001871874,0.0002771791,0.0001024105],"domain_scores_gemma":[0.9988185,0.0003349614,0.0001131393,0.0002328503,0.0003853001,0.0001152995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003975159,0.0001362828,0.009316765,0.001061242,0.00005181584,0.0007886067,0.03488091,0.0004311366,0.02846468,0.4245626,0.1264708,0.3734376],"study_design_scores_gemma":[0.00001023787,0.000042412,0.00549516,0.000184873,0.0000191967,0.0004565864,0.006607017,0.000446943,0.004458289,0.0129612,0.969285,0.00003308927],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05649798,0.003750264,0.03507582,0.007304539,0.00122335,0.0001820136,0.001155255,0.001673298,0.8931374],"genre_scores_gemma":[0.4014256,0.003710981,0.0388267,0.001919211,0.0004766392,0.0002290933,0.002012609,0.001748001,0.5496511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05004113,"threshold_uncertainty_score":0.1674042,"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."}}