{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004379537,0.0004146347,0.0003629162,0.0008554242,0.0002366867,0.0004443583,0.0003431295,0.0005556634,0.0006828269],"category_scores_gemma":[0.0007907731,0.0001428299,0.0003181163,0.0007251415,0.0002124633,0.0004374741,0.0002951808,0.0004349314,0.0005162772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001061033,"about_ca_system_score_gemma":0.00009515296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003687452,"about_ca_topic_score_gemma":0.0006094766,"domain_scores_codex":[0.9995843,0.0000760434,0.00006506433,0.0001363765,0.00008108137,0.00005724515],"domain_scores_gemma":[0.9993782,0.0002492979,0.0001335308,0.00005042307,0.00014739,0.0000411549],"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":[0.00007941971,0.00004472329,0.003387354,0.00005591606,0.000009148867,0.00007372316,0.00006003428,0.0000351709,0.9898481,0.0000240213,0.00002305717,0.006359299],"study_design_scores_gemma":[0.00002589589,0.001046126,0.1348763,0.00007541371,0.0001629011,0.001341355,0.0005475493,0.001124162,0.8508414,0.0002415362,0.009687683,0.00002977883],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984968,0.001884853,0.01026106,0.000124819,0.00002540064,0.0001475286,0.001203766,0.00005779007,0.001326759],"genre_scores_gemma":[0.9334013,0.001596991,0.05704152,0.0002776784,0.00002541193,0.000220347,0.005562577,0.00005368564,0.001820444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008554242,"threshold_uncertainty_score":0.002316177,"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."}}