{"id":"W1971059227","doi":"10.1016/j.cbd.2015.01.006","title":"Spatial patterns in markers of contaminant exposure, glucose and glycogen metabolism, and immunological response in juvenile winter flounder (Pseudoplueronectes americanus)","year":2015,"lang":"en","type":"article","venue":"Comparative Biochemistry and Physiology Part D Genomics and Proteomics","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Flounder; Biology; Winter flounder; Juvenile; Vitellogenin; Juvenile fish; Population; Ecology; Zoology; Gene; Fishery; Genetics; Fish <Actinopterygii>","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":[0.0002173285,0.0001710074,0.0004126442,0.00001362714,0.00005400837,0.0000200506,0.00006930788,0.0001404828,0.000009811386],"category_scores_gemma":[0.00003214974,0.00008754389,0.00002353189,0.00006289012,0.000406371,0.00004246783,0.0001143809,0.0001483569,3.286593e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001627812,"about_ca_system_score_gemma":0.00001419534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001645752,"about_ca_topic_score_gemma":0.000121035,"domain_scores_codex":[0.9990116,0.0001941617,0.0002571862,0.0003242262,0.00004033743,0.0001725338],"domain_scores_gemma":[0.9995577,0.0001540506,0.0001104328,0.00004499257,0.0000391644,0.00009368364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004116213,0.00008701983,0.02415055,0.00001900744,0.00001964943,0.000002757017,0.0006282912,0.000001127569,0.969954,0.00002603839,0.00001318509,0.0009821515],"study_design_scores_gemma":[0.001393655,0.0008504966,0.8145533,0.00003803635,0.00001223327,0.00002433769,0.002502463,0.000167255,0.1784251,0.0006415236,0.001134445,0.0002571557],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967967,0.002567783,0.000006144282,0.0002187813,0.00001964181,0.0002377355,0.0001302737,0.000004904852,0.00001808566],"genre_scores_gemma":[0.9988592,0.0007699542,0.0001412984,0.00007634847,0.00004846443,0.00002900273,0.00006327897,0.000001084678,0.00001139176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7915289,"threshold_uncertainty_score":0.3569936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02780278154533918,"score_gpt":0.2405290685615271,"score_spread":0.2127262870161879,"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."}}