{"id":"W2019189241","doi":"10.1139/g03-086","title":"Genetic diversity of<i>Echinacea</i>species based upon amplified fragment length polymorphism markers","year":2004,"lang":"en","type":"article","venue":"Genome","topic":"Herbal Medicine Research Studies","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Complementary and Integrative Health; National Institutes of Health; Iowa State University","keywords":"Biology; Echinacea (animal); Genetics; Genetic diversity; Polymorphism (computer science); Genetic marker; Amplified fragment length polymorphism; Evolutionary biology; Allele; Gene; Zoology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002637848,0.0001199234,0.000169269,0.001232821,0.0001825554,0.0003262731,0.0002031829,0.0001237288,0.0008344146],"category_scores_gemma":[0.0004780258,0.00007426495,0.0001448719,0.0007278163,0.0001692265,0.0001997581,0.0001672236,0.0001376258,0.0001379637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001602422,"about_ca_system_score_gemma":0.00006521074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001178838,"about_ca_topic_score_gemma":0.001383231,"domain_scores_codex":[0.9998209,0.00003264221,0.0000214255,0.0000693026,0.00003354913,0.00002227904],"domain_scores_gemma":[0.999739,0.00008317644,0.00006969045,0.0000186017,0.00005627764,0.00003327659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004323844,0.00009064653,0.4913556,0.00009435335,0.0002140694,0.000329154,0.0008589655,0.0004880354,0.4694791,0.0004479348,0.000116795,0.036093],"study_design_scores_gemma":[0.00001556245,0.000209637,0.9710253,0.00002283555,0.00005989414,0.0007190254,0.0003288065,0.001069098,0.02462787,0.000259673,0.001645734,0.00001657487],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987652,0.0001317956,0.0004858725,0.000009660778,7.196352e-7,0.000006753508,0.0001730532,0.000006120319,0.0004209014],"genre_scores_gemma":[0.9977003,0.0000800053,0.001200038,0.000009168057,0.00000141338,0.000007287244,0.0007382309,0.00000300727,0.0002605407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001232821,"threshold_uncertainty_score":0.002791345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02747644350097678,"score_gpt":0.2625510569562997,"score_spread":0.2350746134553229,"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."}}