{"id":"W646416885","doi":"10.71781/20275","title":"Extent of intra-isolate genetic polymorphism in glomus etunicatum using a molecular genetic approach","year":2009,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Medicinal plant effects and applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Polymorphism (computer science); Genetics; Biology; Genotype; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001773547,0.0001172073,0.0001933086,0.0007211892,0.0002791159,0.0003599682,0.0002332435,0.0003189247,0.0009362604],"category_scores_gemma":[0.000292257,0.000104098,0.0002622793,0.0005456835,0.0003084792,0.0001055593,0.0003523094,0.0003600998,0.0002709414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004223446,"about_ca_system_score_gemma":0.0002456792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01014732,"about_ca_topic_score_gemma":0.01545211,"domain_scores_codex":[0.9998453,0.00002538421,0.00000880769,0.00006607293,0.00002722124,0.00002723082],"domain_scores_gemma":[0.9997779,0.00007825701,0.00005121942,0.00002450902,0.00003575075,0.00003240619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001133255,0.00003524145,0.008299169,0.00002176527,0.00002076216,0.0000788477,0.0003819236,0.00005147548,0.9845284,0.0001204919,0.00003320785,0.006315358],"study_design_scores_gemma":[0.00002725539,0.0004201999,0.9228351,0.00002436263,0.00009200615,0.0004558666,0.0007800899,0.0005429898,0.07104502,0.0001699822,0.003585208,0.00002187565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959842,0.0004017038,0.001352693,0.00006398049,0.000009408223,0.00002322698,0.0003734361,0.000009937766,0.001781493],"genre_scores_gemma":[0.993719,0.0003951261,0.002261662,0.00005791978,0.000007622765,0.00002791945,0.0007173167,0.000009683539,0.002803858],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01014732,"threshold_uncertainty_score":0.02017653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03071139933572743,"score_gpt":0.3316363152588889,"score_spread":0.3009249159231615,"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."}}