{"id":"W3155004556","doi":"10.5539/jas.v13n5p113","title":"Genetic Diversity in Mimosa tenuiflora (Willd.) Poir.: A Multipurpose Plant Genetic Resource of Semiarid Brazil","year":2021,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Phytochemistry Medicinal Plant Applications","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidade Estadual do Sudoeste da Bahia; Petrobras; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Genetic diversity; Biology; Population; Diversity index; Geography; Ecology; Species richness; Demography","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":[0.0003922559,0.0001442201,0.0002886107,0.00002993711,0.0002620493,0.00004370066,0.0008205041,0.00007414435,0.00005086794],"category_scores_gemma":[0.000324497,0.00005339588,0.0001160467,0.001478405,0.0002805894,0.0002272025,0.0003516026,0.0002647127,0.000004092685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001071858,"about_ca_system_score_gemma":0.0000779754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001709668,"about_ca_topic_score_gemma":0.0003212294,"domain_scores_codex":[0.998006,0.00005680258,0.0005101925,0.0002823051,0.0008103518,0.0003343857],"domain_scores_gemma":[0.9985649,0.0002422432,0.0004477513,0.0000805525,0.0004150657,0.0002494709],"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":[0.00002177653,0.0001204569,0.03311795,0.000008574856,0.000006332286,0.00007944574,0.0001959869,0.000195378,0.9625572,0.000007416668,0.0007287667,0.002960722],"study_design_scores_gemma":[0.0002161774,0.0001131156,0.9209163,0.0001046008,0.00001964265,0.0007263107,0.0009545495,0.00003564768,0.0758401,0.00007447022,0.0008650556,0.000134062],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977739,0.000458197,0.000003502167,0.001258344,0.00006894273,0.0001093428,0.00004877962,0.000007717588,0.0002712797],"genre_scores_gemma":[0.9987376,0.0001023788,0.0007868795,0.0001024268,0.0002047616,0.000001792598,0.000009751374,4.922112e-7,0.00005392217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8877983,"threshold_uncertainty_score":0.2177421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01566032657421907,"score_gpt":0.2201988724114356,"score_spread":0.2045385458372166,"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."}}