{"id":"W2118079005","doi":"10.1139/g99-079","title":"Use of microsatellite DNA markers to investigate the level of genetic diversity and population genetic structure of coconut (<i>Cocos nucifera</i> L.)","year":2000,"lang":"en","type":"article","venue":"Genome","topic":"Coconut Research and Applications","field":"Chemistry","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Commonwealth Scholarship Commission","keywords":"Biology; Cocos nucifera; Microsatellite; Genetic diversity; Ecotype; Allele; Locus (genetics); Genetics; Population; Genetic distance; Genetic variation; Botany; 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":[0.0000388289,0.0001037555,0.0001698168,0.00004048308,0.0001364888,0.00001220615,0.0002279419,0.00005933754,0.0005166361],"category_scores_gemma":[0.00002108682,0.00008717736,0.00004599382,0.0001573253,0.0001783441,0.00003505087,0.0002083521,0.0000832614,0.000002280343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002191847,"about_ca_system_score_gemma":0.00003260618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009767495,"about_ca_topic_score_gemma":0.00008739017,"domain_scores_codex":[0.9991649,0.00002509848,0.0002650103,0.000192027,0.0001835406,0.0001693841],"domain_scores_gemma":[0.9992587,0.00006530402,0.0001000983,0.0003862157,0.00007385003,0.0001158588],"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":[0.00005560895,0.00001713882,0.05383299,0.0001289671,0.00003357031,5.787624e-7,0.0006223462,0.0002978062,0.934485,0.00001319104,0.00003577425,0.01047703],"study_design_scores_gemma":[0.0002247213,0.00002903737,0.8915601,0.000025045,0.00002957549,0.000004212295,0.00004932075,0.00005252879,0.1057441,0.0004999431,0.001685362,0.00009604743],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998604,0.000244791,0.00002580641,0.00009055409,0.000004538044,0.0002650066,0.0006951207,0.000006444995,0.00006373727],"genre_scores_gemma":[0.9976183,0.0001599802,0.001633364,0.00004635043,0.00001878655,0.000006077827,0.00002939723,0.000009370963,0.0004784143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8377271,"threshold_uncertainty_score":0.5656803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04504420982753444,"score_gpt":0.2456468095126722,"score_spread":0.2006025996851378,"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."}}