{"id":"W2158681114","doi":"10.1139/g09-066","title":"Identifying commercially relevant<i>Echinacea</i>species by AFLP molecular markers","year":2009,"lang":"en","type":"article","venue":"Genome","topic":"Herbal Medicine Research Studies","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Echinacea (animal); Biology; Amplified fragment length polymorphism; Molecular marker; Genetic diversity; Genus; Primer (cosmetics); Botany; Ecology; Genetics; Population","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":[0.0005045526,0.0002220133,0.0004642888,0.0001561713,0.0001588547,0.00003322716,0.0002027132,0.00008124429,0.0002568585],"category_scores_gemma":[0.0005060497,0.0001902594,0.0001247673,0.0003531991,0.0001520651,0.0000774349,0.00009503666,0.0004133549,0.0001849197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002573273,"about_ca_system_score_gemma":0.000117373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004285538,"about_ca_topic_score_gemma":0.000004283976,"domain_scores_codex":[0.997889,0.00008383496,0.0003134529,0.0003446527,0.0007410738,0.0006280134],"domain_scores_gemma":[0.9989825,0.00008110508,0.00006058406,0.0004286547,0.0001282317,0.0003189488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002117988,0.0001321118,0.001073757,0.0001523436,0.0001988813,0.0007105457,0.0007510677,0.000001673449,0.9439512,0.000311835,0.04323728,0.009267425],"study_design_scores_gemma":[0.004739128,0.002708032,0.388038,0.0005906729,0.0003334567,0.0001921958,0.002369066,0.00003603495,0.01441115,0.001539221,0.5842221,0.00082094],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8062883,0.02749034,0.0028536,0.05103397,0.0003105995,0.001437192,0.00004377597,0.0003625231,0.1101797],"genre_scores_gemma":[0.9831694,0.002038536,0.001528558,0.004560175,0.0002681911,0.00001575647,0.0000494179,0.00003488257,0.008335039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9295402,"threshold_uncertainty_score":0.7758554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02395673623252945,"score_gpt":0.3155150119053243,"score_spread":0.2915582756727948,"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."}}