{"id":"W3137619600","doi":"10.6082/6zjc8-xb527","title":"Population Structure and Local Adaptation in the Olympia Oyster (Ostrea lurida)","year":2019,"lang":"en","type":"article","venue":"Knowledge@UChicago (University of Chicago)","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Washington Sea Grant, University of Washington; National Oceanic and Atmospheric Administration; University of Chicago; National Geographic Society; National Science Foundation","keywords":"Oyster; Population; Adaptation (eye); Ostreidae; Geography; Fishery; Biology; Shellfish; Aquatic animal; Fish <Actinopterygii>; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001734927,0.0001256185,0.0001836681,0.0000472143,0.0001338036,0.00001096786,0.0002291982,0.00009400214,0.0008501161],"category_scores_gemma":[0.00001116925,0.0000995865,0.00005543887,0.0002419955,0.000175505,0.0001969823,0.0002057002,0.0001750068,0.0001093964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004417349,"about_ca_system_score_gemma":0.000007148316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000924211,"about_ca_topic_score_gemma":0.01156271,"domain_scores_codex":[0.9991436,0.0001266518,0.0001056304,0.0002648238,0.0002043345,0.0001549446],"domain_scores_gemma":[0.9996066,0.00006678707,0.00007871705,0.0001976623,0.00001255637,0.00003769176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002979978,0.0003718949,0.6899129,0.0002425654,0.0001035664,0.00001576942,0.1794282,0.001536602,0.003619383,0.005980222,0.004142785,0.1143482],"study_design_scores_gemma":[0.0007277777,0.00007903734,0.9718471,0.0000311498,0.0000305884,0.000005846774,0.01373035,0.004092175,0.00004538427,0.001355987,0.007876741,0.0001779167],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972941,0.00007253391,0.000224786,0.0006792038,0.00005398925,0.0002200984,0.000007873637,0.00001367943,0.02578686],"genre_scores_gemma":[0.9987115,0.00002244413,0.0002265273,0.00004329081,0.00002152486,2.358454e-7,0.00002165246,0.000005172362,0.000947688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2819342,"threshold_uncertainty_score":0.9308175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006542033143112206,"score_gpt":0.1934904197286998,"score_spread":0.1869483865855876,"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."}}