{"id":"W2921048726","doi":"10.1021/acs.est.8b06855","title":"Zn Isotope Fractionation in the Oyster <i>Crassostrea hongkongensis</i> and Implications for Contaminant Source Tracking","year":2019,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Crassostrea; Oyster; Fractionation; Environmental chemistry; Environmental science; Chemistry; Contamination; Oceanography; Geology; Biology; Chromatography; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009852609,0.000186355,0.0001722313,0.0001834892,0.0003680475,0.00004823858,0.0006597614,0.0001364992,0.0002931189],"category_scores_gemma":[0.00005496563,0.0001477466,0.00003987143,0.0005765518,0.001629036,0.0004990461,0.0003672101,0.0002253239,0.0003029456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005626103,"about_ca_system_score_gemma":0.00000959768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003048067,"about_ca_topic_score_gemma":0.00003724017,"domain_scores_codex":[0.9980434,0.00004574194,0.0002936458,0.0007174275,0.0003818933,0.00051788],"domain_scores_gemma":[0.999097,0.0001357147,0.0001286442,0.0005728516,0.000002047883,0.00006377188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005945508,0.0001418624,0.5580931,0.000002546876,0.00000271871,8.308647e-7,0.0003433707,0.0004685166,0.3870765,0.0003781348,0.00005909551,0.05342735],"study_design_scores_gemma":[0.0004575548,0.0001610652,0.9352755,0.000008121657,0.00001235279,0.00006723983,0.001295876,0.0006892916,0.01836443,0.001456478,0.04197297,0.0002391477],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913424,0.0000815274,0.002202956,0.004080629,0.00009819506,0.001202561,0.00001274384,0.00003733323,0.0009417168],"genre_scores_gemma":[0.9974561,0.0000711614,0.001250746,0.0005954631,0.00001440008,0.0002597756,0.000006384458,0.00001606612,0.0003299207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3771823,"threshold_uncertainty_score":0.602493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008155853109525345,"score_gpt":0.2361646914250923,"score_spread":0.228008838315567,"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."}}