{"id":"W2362412385","doi":"","title":"Screens Fine Varieties of Haiyuan Foenuculum vulgare Mill. and Studies on it's Volatile Oil Chemical Composition","year":2009,"lang":"en","type":"article","venue":"Seed","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Foeniculum; Raw material; Pulp and paper industry; Chemical composition; Mill; Inner mongolia; Extraction (chemistry); Yield (engineering); Composition (language); Horticulture; Mathematics; Chemistry; Environmental science; Materials science; Biology; Chromatography; Geography; Engineering; Metallurgy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009076537,0.0000913309,0.0001720959,0.00003629872,0.00008118319,0.00001780577,0.00004214362,0.00004628576,0.00003860057],"category_scores_gemma":[0.00003194252,0.00006624221,0.00002911863,0.0000679361,0.00007533559,0.00003596973,0.000003924659,0.00007869232,0.000009557881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000148058,"about_ca_system_score_gemma":0.000008413689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003018583,"about_ca_topic_score_gemma":0.0003229383,"domain_scores_codex":[0.9994393,0.00002968992,0.0001368447,0.000137282,0.0001332379,0.0001236682],"domain_scores_gemma":[0.9996895,0.00008033698,0.00004818808,0.00008891568,0.00004111293,0.00005200169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002378953,0.0003759335,0.2050941,0.0004271506,0.0004460246,0.0001239695,0.01450175,0.003863521,0.05741775,0.0007553112,0.02045918,0.6941563],"study_design_scores_gemma":[0.0008443759,0.0007649845,0.9604385,0.000210575,0.00005354974,0.00002692094,0.0009013276,0.02556074,0.00872752,0.0008952679,0.001277655,0.0002985967],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990925,0.0005025606,0.000004471482,0.001301263,0.00009666785,0.00002912963,0.00002417651,0.00002544246,0.007091263],"genre_scores_gemma":[0.9987038,0.00008568822,0.0004738667,0.0003021734,0.00006841879,2.357895e-8,0.00007608979,0.000001472012,0.0002885109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7553444,"threshold_uncertainty_score":0.2701279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0183056332529897,"score_gpt":0.2325890841018635,"score_spread":0.2142834508488738,"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."}}