{"id":"W7017409897","doi":"","title":"ẢNH HƯỞNG CỦA THỜI GIAN THU HOẠCH VÀ ĐIỀU KIỆN XỬ LÝ ĐẾN KHẢ NĂNG PHÂN LẬP NẤM MEN TỪ NƯỚC THỐT NỐT (BORASSUS) TƯƠI","year":2011,"lang":"vi","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); South asia; Set (abstract data type); Quarter (Canadian coin)","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":[0.0002649472,0.0004930743,0.0003044469,0.000452093,0.002199137,0.001553834,0.0003853177,0.0006002591,0.0626027],"category_scores_gemma":[0.0002893959,0.0002836645,0.0003095283,0.0004693067,0.0006672128,0.0008141358,0.001142703,0.0007468563,0.01638001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001511286,"about_ca_system_score_gemma":0.00223988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01498398,"about_ca_topic_score_gemma":0.04086499,"domain_scores_codex":[0.9997876,0.00002110321,0.00001007484,0.00005545329,0.00008008901,0.00004555525],"domain_scores_gemma":[0.9998411,0.00001020716,0.00001372361,0.00001663643,0.00005622239,0.00006207856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001553848,0.0005080852,0.02280346,0.001778243,0.000113417,0.002797785,0.009203913,0.0004216218,0.1780255,0.04541318,0.2193798,0.5180012],"study_design_scores_gemma":[0.00002475925,0.0001711919,0.01269424,0.0001024813,0.00002767157,0.0004521125,0.003051635,0.0001464358,0.02405831,0.001391036,0.9578524,0.00002770254],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1371873,0.005238013,0.00482352,0.004695199,0.002586608,0.000302802,0.001975625,0.001132951,0.842058],"genre_scores_gemma":[0.1930244,0.002071757,0.005570946,0.0006272965,0.00007418311,0.0001163507,0.001162432,0.0002548679,0.7970977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0626027,"threshold_uncertainty_score":0.2094269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3654990698223674,"score_gpt":0.5091562860790615,"score_spread":0.1436572162566941,"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."}}