{"id":"W4210791127","doi":"10.1139/cjfas-2020-0419","title":"Extreme variability in European eel growth revealed by an extended mark and recapture experiment in southern France and implications for management","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Otolith; Fishing; Fishery; Mark and recapture; Stocking; Population; Endangered species; Mediterranean climate; Geography; Mediterranean sea; Biology; Fisheries management; Ecology; Fish <Actinopterygii>; Demography; Habitat","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001630597,0.0002840255,0.0003406878,0.0004982494,0.0002733821,0.0004473658,0.0003093436,0.0004703967,0.0002692803],"category_scores_gemma":[0.001402715,0.0001217636,0.0003229989,0.0003374329,0.0004523851,0.0002775071,0.0003055478,0.0002428281,0.00008550764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007263463,"about_ca_system_score_gemma":0.000268605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0336748,"about_ca_topic_score_gemma":0.05475982,"domain_scores_codex":[0.9993955,0.0002842097,0.00002925735,0.0001544287,0.00007613896,0.00006037299],"domain_scores_gemma":[0.9989918,0.0002812385,0.000284691,0.0001561008,0.0001523687,0.0001338449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005233989,0.000295805,0.9603825,0.00001266583,0.0002082229,0.0003485277,0.001132799,0.001330136,0.02659781,0.00009415311,0.00026548,0.008808498],"study_design_scores_gemma":[0.000003867277,0.0001299302,0.9988025,0.000001526714,0.00001167532,0.00005156031,0.00010691,0.0005311426,0.000219647,0.00001115145,0.0001239627,0.000006097319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997838,0.00001966902,0.00007250573,0.00000953474,9.989229e-7,0.000001329421,0.00004248946,0.000002760841,0.000066935],"genre_scores_gemma":[0.9993826,0.00002690202,0.0001906047,0.00002679376,0.000002551918,0.000009519358,0.0002088378,0.000003165631,0.000149035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0336748,"threshold_uncertainty_score":0.06695759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01505660477070724,"score_gpt":0.2121317822250251,"score_spread":0.1970751774543179,"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."}}