{"id":"W1877279362","doi":"10.2983/0730-8000(2005)24[103:gvingo]2.0.co;2","title":"GEOGRAPHIC VARIATION IN NUCLEAR GENES OF THE EASTERN OYSTER, CRASSOSTREA VIRGINICA GMELIN","year":2005,"lang":"en","type":"article","venue":"Journal of Shellfish Research","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Delaware Sea Grant, University of Delaware; University of Delaware","keywords":"Eastern oyster; Crassostrea; Biology; Oyster; Population; Estuary; Mitochondrial DNA; Range (aeronautics); Population genetics; Fishery; Ecology; Gene; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008397818,0.00009728465,0.00005464777,0.0003239892,0.0001222171,0.000155083,0.00009042661,0.0000733183,0.0003650289],"category_scores_gemma":[0.0002886763,0.00006085713,0.00005618255,0.0002216733,0.0002078736,0.00007592221,0.0001413099,0.00009894493,0.00005666412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002253605,"about_ca_system_score_gemma":0.0001202559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01846495,"about_ca_topic_score_gemma":0.05390278,"domain_scores_codex":[0.9999465,0.000005661171,0.000004111843,0.00002443981,0.0000107368,0.000008667784],"domain_scores_gemma":[0.9998022,0.00003276354,0.00009259107,0.0000145246,0.00003018517,0.00002784639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001161232,0.00002385224,0.9001144,0.00001442114,0.00004363075,0.0001116845,0.0009524334,0.0001466633,0.09022726,0.00006535786,0.00004588145,0.008138318],"study_design_scores_gemma":[0.000001698769,0.00001659777,0.9990964,0.000002526032,0.000005206714,0.00006650245,0.0001588267,0.0000549443,0.0004777339,0.000007590882,0.0001109541,9.554968e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999859,0.00001529664,0.00001553464,0.000002242017,1.44886e-7,3.012109e-7,0.00002322652,5.195893e-7,0.00008375328],"genre_scores_gemma":[0.9996423,0.00002460499,0.00005396225,0.000003026723,4.089713e-7,0.000001051827,0.0001245383,6.438515e-7,0.000149581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01846495,"threshold_uncertainty_score":0.03671497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03334055568186057,"score_gpt":0.3143001567521132,"score_spread":0.2809596010702526,"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."}}