{"id":"W2529747887","doi":"10.1002/ecy.1602","title":"Coast‐wide recruitment dynamics of Olympia oysters reveal limited synchrony and multiple predictors of failure","year":2016,"lang":"en","type":"article","venue":"Ecology","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Island University","funders":"Andrew W. Mellon Foundation; National Oceanic and Atmospheric Administration; Environmental Protection Agency; National Science Foundation","keywords":"Estuary; Ecology; Propagule; Population; Abundance (ecology); Fishery; Biology; Oyster; Geography; Oceanography; Geology; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001169323,0.00009895496,0.000216669,0.00002277704,0.0000380282,0.000001441815,0.0001005385,0.00007086378,0.0002983967],"category_scores_gemma":[0.0001413729,0.00006224839,0.00004049119,0.00006243325,0.0003596068,0.00004885426,0.0002727628,0.00003594566,0.00001434896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008858978,"about_ca_system_score_gemma":0.000006185037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001242131,"about_ca_topic_score_gemma":0.005563824,"domain_scores_codex":[0.9992698,0.00005291267,0.0002202884,0.0001919123,0.00009615976,0.0001689341],"domain_scores_gemma":[0.9994698,0.0002094572,0.000131099,0.0001333575,0.00001025332,0.00004602497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002501984,0.00004585834,0.9833492,0.00001847252,0.00004542692,0.000001805277,0.000256771,0.000007076648,0.007589829,0.00006174276,0.005912117,0.002686699],"study_design_scores_gemma":[0.0006925281,0.0003307928,0.9895126,0.0000219012,0.00002851656,0.000003795197,0.0002161034,0.00007294991,0.001442731,0.00009967166,0.00748757,0.000090832],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961231,0.00001960659,0.00006628631,0.00158612,0.000111601,0.0002707114,0.00003471849,0.0000120091,0.001775804],"genre_scores_gemma":[0.9982767,0.00005376327,0.0003798975,0.00006627383,0.00001594427,0.00001543331,0.000005935956,0.000006031219,0.001180077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006163426,"threshold_uncertainty_score":0.3267234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01178550648856458,"score_gpt":0.2236713226107645,"score_spread":0.2118858161221999,"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."}}