{"id":"W2149145495","doi":"10.1046/j.1365-294x.2000.00839.x","title":"A microsatellite‐based estimation of clonal diversity and population subdivision in <i>Zostera marina</i>, a marine flowering plant","year":2000,"lang":"en","type":"article","venue":"Molecular Ecology","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":166,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Zostera marina; Outcrossing; Population; Microsatellite; Genetic diversity; Fixation index; Zostera; Ecology; Genetic variation; Population genetics; Seagrass; Zoology; Allele; Genetics; Ecosystem; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001279812,0.00008241036,0.000153285,0.00009235899,0.00007667152,0.000006386903,0.00006834713,0.00006794022,0.0012887],"category_scores_gemma":[0.00000912401,0.00007886525,0.00002259929,0.00008689266,0.00003433033,0.00005395703,0.000076583,0.00007226507,0.00001075216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003937889,"about_ca_system_score_gemma":0.000009710671,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01584715,"about_ca_topic_score_gemma":0.02284518,"domain_scores_codex":[0.999356,0.00007163411,0.0001674928,0.0001799091,0.00006475584,0.0001601703],"domain_scores_gemma":[0.9997854,0.00005760951,0.0000419215,0.00007142572,0.000007481459,0.00003614914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001909949,0.00001716123,0.8329477,0.00001832194,0.000003806105,0.00007381677,0.00002983295,0.005007029,0.0002028584,0.00002187041,0.000002273671,0.1614843],"study_design_scores_gemma":[0.0003620193,0.0001522959,0.9236354,0.000005968997,0.000005975954,0.00003202994,0.000002589778,0.07488066,0.0002723472,0.0004235401,0.0001504559,0.00007672688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978427,0.00002969231,0.0000662378,0.00005128244,0.00004130228,0.0001090077,0.00003955132,0.00000919738,0.001811006],"genre_scores_gemma":[0.9982831,0.00001989125,0.0006345091,0.0001773828,0.000005160958,5.339317e-7,0.0008135808,0.000001422221,0.00006441442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1614076,"threshold_uncertainty_score":0.9996243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006115210131311701,"score_gpt":0.1809760905565434,"score_spread":0.1748608804252317,"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."}}