{"id":"W2153063552","doi":"10.4238/2014.july.2.6","title":"Molecular characterization of Anthurium genotypes by using DNA fingerprinting and SPAR markers","year":2014,"lang":"en","type":"article","venue":"Genetics and Molecular Research","topic":"Plant Diversity and Evolution","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Biology; Genotype; Primer (cosmetics); Germplasm; DNA profiling; Genetic diversity; RAPD; Jaccard index; Genetic marker; Genetics; Botany; Cluster analysis; DNA; Statistics; Mathematics; Population; Chemistry; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005067572,0.0003290275,0.0003960223,0.001553927,0.0002031312,0.0003440462,0.0002325515,0.0002810393,0.0004030487],"category_scores_gemma":[0.001074109,0.0001481119,0.0003161013,0.001101615,0.0001756717,0.0002269706,0.0002097759,0.0002469603,0.0002226096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001519682,"about_ca_system_score_gemma":0.0002046351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00118771,"about_ca_topic_score_gemma":0.00227863,"domain_scores_codex":[0.9995383,0.000077025,0.00005620563,0.0001729465,0.0001197877,0.00003581927],"domain_scores_gemma":[0.9992378,0.0001645798,0.0003065357,0.00006313114,0.0001604392,0.00006755508],"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":[0.0002112942,0.00007917704,0.07170649,0.0001472633,0.00005513049,0.0002119613,0.0006440888,0.0003022577,0.9058823,0.0001011029,0.00002186001,0.02063691],"study_design_scores_gemma":[0.00004444289,0.00103055,0.8507316,0.00005322862,0.0002137751,0.001497282,0.0005432127,0.003637579,0.1378404,0.0003464428,0.004018517,0.00004304354],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993925,0.000360386,0.004640315,0.00001132967,0.000002933961,0.00004205084,0.0005742341,0.0000223771,0.0004212998],"genre_scores_gemma":[0.9564355,0.000490355,0.03927688,0.00003503425,0.000009830916,0.00008966808,0.002827178,0.00002025603,0.0008153373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001553927,"threshold_uncertainty_score":0.002680004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02730364653117708,"score_gpt":0.2432544392617708,"score_spread":0.2159507927305937,"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."}}