{"id":"W2355651297","doi":"","title":"Preliminary Identification of Peanut Varieties by ISSR Molecular Markers","year":2011,"lang":"en","type":"article","venue":"Seed","topic":"Peanut Plant Research Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Primer (cosmetics); genomic DNA; Genome; Polymorphism (computer science); DNA; Molecular marker; Genetic marker; DNA profiling; DNA extraction; Genetics; Biotechnology; Molecular biology; Polymerase chain reaction; Chemistry; Genotype; Gene","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":[0.0002206954,0.00006663059,0.00008946242,0.00000807968,0.00006702286,0.00001115568,0.0001901569,0.00003452247,0.00009249495],"category_scores_gemma":[0.0000697029,0.00002577507,0.00004288889,0.0001222393,0.00009680058,0.00006521946,0.00007673117,0.00005041281,0.000005198893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007603968,"about_ca_system_score_gemma":0.000003048283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002920695,"about_ca_topic_score_gemma":0.00001132084,"domain_scores_codex":[0.9993138,0.00005830942,0.0001441213,0.0001428812,0.0001856651,0.0001551706],"domain_scores_gemma":[0.9997306,0.00005911184,0.00006555377,0.00004628847,0.00006041472,0.00003799268],"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":[0.00008999438,0.00006066784,0.005448762,0.00001063073,0.00002204319,0.000003364949,0.0002104979,1.164103e-7,0.9891411,0.0001433675,0.002597099,0.00227234],"study_design_scores_gemma":[0.00005413393,0.0002713987,0.8318913,0.000009764952,0.000009798596,0.000001615785,0.0007072669,0.00002104848,0.164969,0.000832546,0.001143052,0.00008909892],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993056,0.0005509195,0.0000135897,0.000251226,0.00003176862,0.0001269975,0.0000630739,0.00003153504,0.005874862],"genre_scores_gemma":[0.9984266,0.0001075252,0.00003920615,0.000024226,0.00001380297,0.0000098317,0.0001547916,1.907467e-7,0.001223818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8264425,"threshold_uncertainty_score":0.1051077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02042701497254278,"score_gpt":0.2160520850727129,"score_spread":0.1956250701001701,"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."}}