{"id":"W4386043961","doi":"","title":"СРАВНИТЕЛЬНОЕ ИЗУЧЕНИЕ МЯТ, СИНТЕЗИРУЮЩИХ АЦИКЛИЧЕСКИЕ ТЕРПЕНОИДЫ","year":2012,"lang":"ro","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Medicinal plant effects and applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005139583,0.001153581,0.002748408,0.001585003,0.00085344,0.001225346,0.004184082,0.0005747352,0.06711893],"category_scores_gemma":[0.001518287,0.0009706672,0.0006610109,0.002475394,0.0005844205,0.003562701,0.001662648,0.002013444,0.001187601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003652672,"about_ca_system_score_gemma":0.0006246801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001684852,"about_ca_topic_score_gemma":0.00003982981,"domain_scores_codex":[0.9913147,0.0007339876,0.002547954,0.001044644,0.002379183,0.001979493],"domain_scores_gemma":[0.9906686,0.001937625,0.00228369,0.001823956,0.0007155814,0.002570552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007193909,0.002291662,0.4943031,0.001068408,0.001013279,0.0001900379,0.0007055853,0.00002939591,0.1144593,0.00113288,0.3452286,0.03885831],"study_design_scores_gemma":[0.002750533,0.00009712695,0.6945236,0.004280378,0.001703172,0.0003947747,0.0004676601,0.0001725154,0.0214373,0.001467623,0.2714531,0.001252211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7451271,0.1802728,0.001281634,0.002461325,0.005086292,0.003340199,0.0005130396,0.0001464909,0.06177115],"genre_scores_gemma":[0.9501285,0.03614393,0.0003093733,0.00240556,0.004743353,0.0001799552,0.0001816712,0.000208038,0.005699646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2050014,"threshold_uncertainty_score":0.9998115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3341516809028242,"score_gpt":0.6062080769729503,"score_spread":0.2720563960701261,"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."}}