{"id":"W4308325524","doi":"10.1016/j.marenvres.2022.105797","title":"European flounder foraging movements in an estuarine nursery seascape inferred from otolith microchemistry and stable isotopes","year":2022,"lang":"en","type":"article","venue":"Marine Environmental Research","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Heritage","funders":"Région Normandie; Agence de l'Eau Seine-Normandie","keywords":"Otolith; Microchemistry; Seascape; Biological dispersal; Juvenile; Estuary; Flounder; Foraging; Fishery; Ecology; Platichthys; Juvenile fish; Range (aeronautics); Biology; Habitat; Fish <Actinopterygii>; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001453315,0.0001897521,0.0001587146,0.0004029205,0.0003628678,0.0003557735,0.0001476828,0.0003309216,0.0006648014],"category_scores_gemma":[0.0003922962,0.0001982812,0.0001430988,0.0002965548,0.0002906565,0.000316968,0.0002368242,0.0001361307,0.0001382806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000272061,"about_ca_system_score_gemma":0.0001281216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01234956,"about_ca_topic_score_gemma":0.04401804,"domain_scores_codex":[0.9999563,0.000008089689,0.000003439492,0.00001692529,0.000005193755,0.00001003806],"domain_scores_gemma":[0.9998254,0.00005253586,0.00003927174,0.00001042211,0.00003241373,0.00004005654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003882248,0.00006604138,0.9634677,0.00001055622,0.00006820303,0.0003264259,0.0006747401,0.0004260718,0.02982419,0.00003986002,0.00008805009,0.004619765],"study_design_scores_gemma":[0.00000241235,0.00002577297,0.9991999,0.000001246546,0.000006908707,0.00004026585,0.000112914,0.0003216781,0.000244253,0.000005054451,0.00003803901,0.000001584407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998981,0.000004956913,0.00001785865,0.000001245455,2.761966e-7,2.428577e-7,0.00001704047,4.863628e-7,0.00005981326],"genre_scores_gemma":[0.9995804,0.00001361929,0.00008880867,0.000003318039,8.337282e-7,0.000001269549,0.0001000673,0.0000018207,0.0002097966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01234956,"threshold_uncertainty_score":0.02455533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01889429699798822,"score_gpt":0.2769564781212421,"score_spread":0.2580621811232539,"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."}}