{"id":"W2027713050","doi":"10.1080/10256016.2015.1023797","title":"The efficacy of scale sampling for monitoring trace element concentrations and stable isotopes in commercially harvested walleye (<i>Sander vitreus</i>)","year":2015,"lang":"en","type":"article","venue":"Isotopes in Environmental and Health Studies","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Saskatchewan","funders":"Environment Canada; Lake Winnipeg Foundation","keywords":"Trophic level; Stable isotope ratio; Environmental science; Isotope; δ13C; δ15N; Mercury (programming language); Fishery; Sampling (signal processing); Ecology; Biology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001421155,0.0004924717,0.0002216971,0.0005538437,0.0005120756,0.0007542953,0.00071749,0.0005497917,0.0003768302],"category_scores_gemma":[0.003288617,0.0002692591,0.0003016211,0.000436845,0.0007418572,0.0005807179,0.0007515047,0.0002604875,0.0001963232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009397021,"about_ca_system_score_gemma":0.0008013028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03027114,"about_ca_topic_score_gemma":0.1108583,"domain_scores_codex":[0.9991527,0.0001854158,0.00003580207,0.0003057677,0.0002741522,0.00004613445],"domain_scores_gemma":[0.9983675,0.0006313571,0.0004883551,0.0001267531,0.0002993033,0.00008672212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002883839,0.0001035974,0.916517,0.00009583036,0.0001766119,0.00008426263,0.0003062346,0.003224623,0.05059335,0.0002009215,0.0001728494,0.02823635],"study_design_scores_gemma":[0.00002074853,0.001025781,0.9623055,0.0000357345,0.000119368,0.0001528513,0.0004087725,0.01720954,0.01776171,0.0003446884,0.0005825975,0.00003266189],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911513,0.0003242466,0.006515759,0.00003385969,0.000005380319,0.00007845796,0.0002646401,0.00003949504,0.001586813],"genre_scores_gemma":[0.9822876,0.0001751178,0.01663301,0.00005259195,0.000004852629,0.00009077598,0.0003093894,0.000009421181,0.0004372758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03027114,"threshold_uncertainty_score":0.0601899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.095225246077361,"score_gpt":0.362212826100978,"score_spread":0.2669875800236171,"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."}}