{"id":"W3161405825","doi":"10.1139/cjfas-2020-0437","title":"Evaluation of otolith microstructures for ageing of larval white sturgeon","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Environment; Ministry of the Environment, Conservation and Parks; University of British Columbia","funders":"","keywords":"Otolith; Sturgeon; Acipenser; Larva; Biology; Fishery; Lake sturgeon; Ageing; Zoology; Ecology; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0002949403,0.0003051138,0.0001065777,0.0006975978,0.0001682093,0.0001527699,0.0001217234,0.0002527992,0.0006734543],"category_scores_gemma":[0.0006389268,0.0001503946,0.0001920828,0.0002185886,0.0001682287,0.0002026572,0.000164542,0.0001848683,0.0001297175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001793661,"about_ca_system_score_gemma":0.0001573506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002867645,"about_ca_topic_score_gemma":0.01108684,"domain_scores_codex":[0.9998794,0.00001587187,0.00001607121,0.00003793337,0.00003751697,0.00001312867],"domain_scores_gemma":[0.9995344,0.00004748577,0.0001996202,0.00002847654,0.0001329231,0.00005711764],"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":[0.0003765453,0.0000593665,0.1907644,0.00007505552,0.00004231523,0.00008622352,0.0003425467,0.0002082676,0.7957918,0.00002664521,0.00008554852,0.01214126],"study_design_scores_gemma":[0.000003123217,0.0003670466,0.9714006,0.000004210948,0.00003182814,0.00008966909,0.00005949314,0.0002725295,0.02760663,0.000006557869,0.0001508352,0.000007405641],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983581,0.0001795692,0.0008829471,0.000005036821,0.000007083655,0.00001510357,0.0002319738,0.00001976052,0.0003003625],"genre_scores_gemma":[0.9965306,0.0001740948,0.002165255,0.00002048183,0.00000611616,0.00002924398,0.0003385698,0.00001101481,0.0007246443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002867645,"threshold_uncertainty_score":0.0057019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02337325109800857,"score_gpt":0.2430061990348042,"score_spread":0.2196329479367957,"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."}}