{"id":"W2134017434","doi":"10.1007/s12237-014-9934-y","title":"Fundulus grandis Otolith Microchemistry as a Metric of Estuarine Discrimination and Oil Exposure","year":2015,"lang":"en","type":"article","venue":"Estuaries and Coasts","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Otolith; Estuary; Fundulus; Bay; Killifish; Environmental science; Anguillidae; Environmental chemistry; Microchemistry; Oceanography; Fishery; Fish <Actinopterygii>; Biology; Chemistry; Geology","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":[0.0001516874,0.00009849008,0.0001393266,0.00002943467,0.00007526683,0.00004575846,0.00008921433,0.00004913446,0.0003301205],"category_scores_gemma":[0.0001094667,0.00008117708,0.0000172826,0.0002044885,0.0003375415,0.0001350696,0.0003863796,0.0000800409,0.000006731866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000225641,"about_ca_system_score_gemma":0.00001694379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004119769,"about_ca_topic_score_gemma":0.0004163035,"domain_scores_codex":[0.9992226,0.00001988088,0.0001329149,0.0001973699,0.000258264,0.0001689608],"domain_scores_gemma":[0.9996157,0.00003229616,0.00004440517,0.0001348256,0.00002061212,0.0001521666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001741322,0.0001156662,0.6976133,0.0001102598,0.00001921936,0.00001278211,0.002357108,0.000002726344,0.001451188,0.0004738855,0.001387757,0.296282],"study_design_scores_gemma":[0.005383987,0.002219937,0.7864281,0.00005341077,0.000121732,0.0002342599,0.01171164,0.0008057682,0.01238012,0.006083548,0.1735823,0.0009951945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.914796,0.0001602322,0.00003344214,0.0003200586,0.00002385775,0.00004723673,0.000002895682,0.00001002977,0.08460627],"genre_scores_gemma":[0.9933801,0.0002255039,0.0002546855,0.00004358515,0.00001671357,0.00001160956,0.00001062041,0.000006655784,0.006050478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2952868,"threshold_uncertainty_score":0.6227885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01365246713381606,"score_gpt":0.2355318438446398,"score_spread":0.2218793767108238,"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."}}