{"id":"W2512430913","doi":"10.3390/toxins8080238","title":"Cyanobacterial Neurotoxin BMAA and Mercury in Sharks","year":2016,"lang":"en","type":"article","venue":"Toxins","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Florida International University; Herbert W. Hoover Foundation","keywords":"Bioaccumulation; Threatened species; Biology; IUCN Red List; Mercury (programming language); Predation; Fishery; Chondrichthyes; Biomagnification; Apex predator; Zoology; Ecology; Habitat","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001003407,0.0000769239,0.00008942219,0.00002088444,0.00004196606,0.00001195539,0.00006484883,0.00002935399,0.003303453],"category_scores_gemma":[0.0000527808,0.00005040471,0.00001491644,0.00007231651,0.0001197547,0.0001834722,0.0001109425,0.00003411548,0.000453687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003524009,"about_ca_system_score_gemma":0.000003486615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007582119,"about_ca_topic_score_gemma":0.0001871193,"domain_scores_codex":[0.999427,0.00002992718,0.00011344,0.0001595532,0.00009775291,0.0001722775],"domain_scores_gemma":[0.9997589,0.00004160405,0.0000254816,0.0001036511,0.000001550422,0.00006882261],"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":[0.00002889062,0.00003757267,0.2319467,0.000003051866,0.000004156321,0.000009107877,0.0006632638,8.19818e-7,0.7330014,0.0001508193,0.003087962,0.03106623],"study_design_scores_gemma":[0.0006298075,0.00005100333,0.9449837,0.00001587668,0.000003441062,0.000006975391,0.00003900065,0.000007122392,0.01888586,0.0003680874,0.03486789,0.0001412002],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986828,0.00001099333,0.00002643311,0.001004683,0.0001064982,0.0001152743,0.00001029837,0.00002016473,0.01187765],"genre_scores_gemma":[0.9984115,0.0000691874,0.00005409794,0.0003084556,0.00003980831,0.00001340582,6.435359e-7,0.00000599224,0.001096945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7141155,"threshold_uncertainty_score":0.9976076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393872190904586,"score_gpt":0.2411366059086877,"score_spread":0.2271978839996418,"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."}}