{"id":"W6959285726","doi":"10.1021/acs.est.8b01052.s003","title":"Isomer-Specific\\nHexabromocyclododecane (HBCDD) Levels\\nin Top Predator Fish from Across Canada and 36-Year Temporal Trends\\nin Lake Ontario","year":2018,"lang":"en","type":"dataset","venue":"Figshare","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sampling (signal processing); Fish <Actinopterygii>; Trout; Spatial distribution; Hexabromocyclododecane; Congener; Biota","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000110777,0.0002411116,0.0001602662,0.0007468029,0.001284775,0.0007413836,0.0003074747,0.000172423,0.001986403],"category_scores_gemma":[0.0002298448,0.0002267411,0.0002428697,0.00108467,0.0004003841,0.0002305166,0.0004530766,0.0002459213,0.0002172277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008982282,"about_ca_system_score_gemma":0.005422963,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9695917,"about_ca_topic_score_gemma":0.9936208,"domain_scores_codex":[0.9997961,0.000004177612,0.000007551639,0.00006184344,0.00008126532,0.0000490749],"domain_scores_gemma":[0.9994959,0.000009791981,0.0000803128,0.000009454154,0.0003397995,0.00006478932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001323615,0.00001409025,0.975274,0.00009076016,0.0001010244,0.0001408856,0.001261552,0.0001261681,0.01155679,0.0001014157,0.001659871,0.009540986],"study_design_scores_gemma":[0.000001239679,0.000009447087,0.9966175,0.000009343688,0.00001580607,0.00002567723,0.0005843412,0.00006728154,0.0005251376,0.000006753744,0.002132719,0.000004807902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9889404,0.0004656391,0.0001782945,0.00008265167,0.000009202569,0.00002030036,0.005202723,0.00002185501,0.005078985],"genre_scores_gemma":[0.9858802,0.000710768,0.0004488165,0.00008627139,0.000003164624,0.00002311976,0.003738711,0.00001008195,0.009098854],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.03040826,"threshold_uncertainty_score":0.06517136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03777349137539042,"score_gpt":0.2138788101502502,"score_spread":0.1761053187748598,"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."}}