{"id":"W7115692981","doi":"10.5281/zenodo.17956868","title":"SURUNKALI GASTRID KASALLIGINI DAVOLASHDA FITOPRAPARATLAR SAMARADORLIGINI OʻRGANISH","year":2025,"lang":"uz","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Polysaccharides Composition and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Identification (biology); Term (time); Limiting","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000289546,0.0005043987,0.0005822101,0.0004051556,0.0003641187,0.001013447,0.000317579,0.0005635956,0.02443649],"category_scores_gemma":[0.0003171261,0.0002762996,0.0007165157,0.000280262,0.0003420191,0.0006115801,0.0007129272,0.001250903,0.005946786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005028018,"about_ca_system_score_gemma":0.0006177883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002348805,"about_ca_topic_score_gemma":0.003588926,"domain_scores_codex":[0.9997079,0.00003412244,0.00002391725,0.00005707157,0.0001178654,0.00005910269],"domain_scores_gemma":[0.9997564,0.00004743747,0.00004061297,0.00002591908,0.00008827412,0.00004130709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002159974,0.0003496379,0.003198418,0.001361821,0.00008914003,0.0006013129,0.0002959698,0.0002592986,0.8070793,0.001192253,0.004186949,0.179226],"study_design_scores_gemma":[0.0001757191,0.007550059,0.03160289,0.0003243076,0.0002478489,0.003583951,0.0009248201,0.001160481,0.6093136,0.0008068787,0.3442193,0.00009012716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7338929,0.08054684,0.01787446,0.004200767,0.00161169,0.0006062598,0.00350234,0.001609703,0.156155],"genre_scores_gemma":[0.7563746,0.02968284,0.01517149,0.001480443,0.0003728022,0.0002941971,0.003387326,0.0002510241,0.1929852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02443649,"threshold_uncertainty_score":0.08174825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0306904477559894,"score_gpt":0.2515906832347455,"score_spread":0.2209002354787561,"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."}}