{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001726973,0.0003148837,0.0001873181,0.0004342938,0.0002543101,0.0001945039,0.0001302866,0.0001548283,0.0006291764],"category_scores_gemma":[0.0001933357,0.00009474887,0.0002902461,0.00026507,0.0000965711,0.0001875591,0.0002279831,0.0002458434,0.0001487094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001794082,"about_ca_system_score_gemma":0.000116267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001296892,"about_ca_topic_score_gemma":0.003163595,"domain_scores_codex":[0.9998734,0.00001100303,0.000009598769,0.00004556941,0.00003732361,0.00002308192],"domain_scores_gemma":[0.999917,0.00001658762,0.00001749542,0.000009755617,0.00002361277,0.00001546242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008096131,0.00002709091,0.003567533,0.00005327091,0.00001041748,0.00009541366,0.00005909264,0.00004557776,0.9895911,0.00003081508,0.00003702146,0.006401788],"study_design_scores_gemma":[0.00004191681,0.001079964,0.2581821,0.00002076664,0.0001166025,0.0006805356,0.0005655494,0.000681181,0.7295372,0.0001219599,0.00894461,0.00002768588],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968473,0.0004159841,0.001535064,0.00002924005,0.00001641367,0.00003003039,0.000282438,0.00002215003,0.0008212883],"genre_scores_gemma":[0.9881176,0.0003161909,0.00694434,0.00006469907,0.000006622247,0.00005140012,0.001365696,0.00002553275,0.00310788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001296892,"threshold_uncertainty_score":0.002578676,"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."}}