{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00196512,0.00007971533,0.0001792358,0.0001232717,0.0001078759,0.00003214366,0.0005312274,0.00005757367,0.0005582618],"category_scores_gemma":[0.0001946967,0.00004830569,0.0001388195,0.0004961652,0.0002369193,0.0002067392,0.0004129224,0.0004420777,0.00007317898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008401444,"about_ca_system_score_gemma":0.00002002504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004022421,"about_ca_topic_score_gemma":0.0006807554,"domain_scores_codex":[0.9979188,0.0002624983,0.0004609379,0.0001279168,0.0009818395,0.0002480392],"domain_scores_gemma":[0.9993321,0.0001229059,0.0002015522,0.0001952657,0.00008549308,0.00006273403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008839474,0.0002918976,0.9453931,0.00001933,0.00004046228,0.000008378996,0.001217702,0.0004186927,0.02149579,0.00005419197,0.004331375,0.02664062],"study_design_scores_gemma":[0.0005261441,0.0001616296,0.9478216,0.00006646456,0.00001074772,0.00001424565,0.0003761305,0.0006361175,0.0006817589,0.0003521799,0.04928146,0.00007155995],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842135,0.0002421553,0.000004300527,0.004654787,0.00006567836,0.0001119358,0.000001395682,0.000002117499,0.01070409],"genre_scores_gemma":[0.998067,0.0007648388,0.000260898,0.00007428939,0.0001675419,0.000001286802,1.218766e-7,0.000008076372,0.0006560131],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04495009,"threshold_uncertainty_score":0.6112576,"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."}}