{"id":"W1967978981","doi":"10.1139/f10-076","title":"Otolith microchemistry as a stock identification tool for freshwater fishes: testing its limits in Lake Erie","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Otolith; Tributary; Microchemistry; Fishery; Oceanography; Environmental science; Fish <Actinopterygii>; Geography; Biology; Geology; Cartography","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":[0.001711304,0.0003134852,0.0002644783,0.0007825684,0.0006285288,0.0006674306,0.0004672588,0.0003955561,0.0003441776],"category_scores_gemma":[0.003155002,0.0003545281,0.0001889197,0.0005720047,0.0007544897,0.0007728471,0.0008022326,0.0003039713,0.0001384084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001338402,"about_ca_system_score_gemma":0.0009093925,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08131942,"about_ca_topic_score_gemma":0.2021169,"domain_scores_codex":[0.9991195,0.0001665756,0.00006029458,0.0001874078,0.000365363,0.0001008255],"domain_scores_gemma":[0.9984502,0.0003752336,0.0004022662,0.00009512623,0.0005337179,0.0001434697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004121844,0.0001491913,0.9584137,0.00003286921,0.00005400684,0.00009137086,0.0009593133,0.0002989185,0.02867743,0.00007352463,0.00005831629,0.01077931],"study_design_scores_gemma":[0.00001257411,0.0005214212,0.990501,0.000005536939,0.00005471797,0.00007704089,0.0003871944,0.001328695,0.00668018,0.00002709346,0.0003924589,0.00001201559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993486,0.00005590044,0.0002265867,0.00001309648,8.286793e-7,0.00000726612,0.00003370417,0.000004007894,0.0003099691],"genre_scores_gemma":[0.9979729,0.00007045588,0.001364848,0.00003078424,0.000002145375,0.00001962323,0.0001214788,0.000004139098,0.0004135736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9186805,"threshold_uncertainty_score":0.1616922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02052238925367465,"score_gpt":0.2258940003514268,"score_spread":0.2053716110977522,"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."}}