{"id":"W2997761105","doi":"10.1139/gen-43-1-15","title":"Use of microsatellite DNA markers to investigate the level of genetic diversity and population genetic structure of coconut (&lt;i&gt;Cocos nucifera&lt;/i&gt; L.)","year":2000,"lang":"en","type":"article","venue":"Genome","topic":"Coconut Research and Applications","field":"Chemistry","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cocos nucifera; Microsatellite; Biology; Genetic diversity; Genetic marker; Population; Genetics; DNA; Botany; Gene; Allele","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":[0.00006352358,0.000156149,0.0002419957,0.0000679939,0.0001997971,0.00001962081,0.0003286232,0.00009397148,0.0007541658],"category_scores_gemma":[0.00003326095,0.00013528,0.0000713854,0.0002263017,0.0002664623,0.00005112037,0.0002920571,0.0001024415,0.000004702794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003951587,"about_ca_system_score_gemma":0.00005358257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003166585,"about_ca_topic_score_gemma":0.0001724842,"domain_scores_codex":[0.9987841,0.00004158045,0.0003674288,0.0002812667,0.0002724183,0.0002531782],"domain_scores_gemma":[0.9989374,0.00008645524,0.0001459818,0.0005427113,0.0001147978,0.0001726335],"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":[0.00007107134,0.00002567655,0.01806494,0.0001534108,0.00005318635,0.000001029009,0.000713475,0.0003796782,0.9713873,0.00004717586,0.00006450393,0.009038571],"study_design_scores_gemma":[0.0003347929,0.0000451883,0.9046668,0.00003562286,0.00004956266,0.00000645403,0.0000296422,0.0001149775,0.08824918,0.0006365071,0.005676614,0.0001545899],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978073,0.0005832486,0.00003538245,0.0001086427,0.00000720266,0.0003870186,0.000927309,0.00001105752,0.0001327889],"genre_scores_gemma":[0.9967611,0.0002703769,0.001927087,0.00004149537,0.00003041002,0.00001059694,0.00005936544,0.00001546176,0.0008841019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8866019,"threshold_uncertainty_score":0.8257586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03807691359672343,"score_gpt":0.2417630593833407,"score_spread":0.2036861457866172,"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."}}