{"id":"W2968115793","doi":"10.3390/microorganisms7080250","title":"Metagenomic Sequencing Identifies Highly Diverse Assemblages of Dinoflagellate Cysts in Sediments from Ships’ Ballast Tanks","year":2019,"lang":"en","type":"article","venue":"Microorganisms","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Laboratory for Marine Ecology and Environmental Science; National Natural Science Foundation of China-Shandong Joint Fund; National Oceanic and Atmospheric Administration; Qingdao National Laboratory for Marine Science and Technology; University of Windsor; National Natural Science Foundation of China; Great Lakes Protection Fund; Old Dominion University; U.S. Environmental Protection Agency","keywords":"Dinoflagellate; Ballast; Bay; Biology; Algal bloom; Dinophyceae; Metagenomics; Alexandrium tamarense; Bloom; Environmental DNA; Sediment; Plankton; Ecology; Oceanography; Fishery; Phytoplankton; Biodiversity; Paleontology; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002700688,0.0001942603,0.0003103151,0.00007336472,0.00006870037,0.00003136731,0.0004117378,0.0001273921,0.01920098],"category_scores_gemma":[0.00003270211,0.000189751,0.00006903474,0.0001846335,0.0001629349,0.000299336,0.0005924152,0.0001710766,0.003587028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003167265,"about_ca_system_score_gemma":0.00001956572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001715466,"about_ca_topic_score_gemma":0.001819849,"domain_scores_codex":[0.9986107,0.0001021355,0.0003448915,0.0004295575,0.0001951339,0.0003176115],"domain_scores_gemma":[0.9993377,0.0001044737,0.000165336,0.0003270842,0.000009257569,0.00005619533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001107848,0.00002694578,0.2730247,0.000007712292,0.00002444408,0.00001972723,0.0008345427,0.00009529942,0.7252222,0.00002370536,0.0006345448,0.00007511301],"study_design_scores_gemma":[0.0003771539,0.00003914457,0.432256,0.00001345816,0.00001789316,0.00000223678,0.0006982937,0.00001406177,0.5655477,0.0004391583,0.0004405092,0.0001543115],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896529,0.00005391302,0.00001430181,0.00005830113,0.0005981676,0.0002323319,0.00002320665,0.00002595625,0.009340892],"genre_scores_gemma":[0.9940668,0.0000319631,0.0004272961,0.0001507653,0.00002545951,0.000003152054,0.00002178992,0.00001934053,0.005253479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1596744,"threshold_uncertainty_score":0.9971888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009519149577959901,"score_gpt":0.1967089257485733,"score_spread":0.1871897761706134,"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."}}