{"id":"W2127933090","doi":"10.1016/j.scitotenv.2011.11.053","title":"Linking ciguatera poisoning to spatial ecology of fish: A novel approach to examining the distribution of biotoxin levels in the great barracuda by combining non-lethal blood sampling and biotelemetry","year":2012,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"National Institute of General Medical Sciences; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Ciguatoxin; Ciguatera; Biotelemetry; Biology; Fishery; Predatory fish; Zoology; Ecology; Toxicology; Fish <Actinopterygii>; Telemetry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002284688,0.0002604359,0.0002311919,0.0009802637,0.0004071824,0.0004765977,0.0004251267,0.0003260016,0.0007176049],"category_scores_gemma":[0.0006309758,0.000302296,0.0001328728,0.0006198194,0.0005080011,0.0003578697,0.0006644122,0.0003609226,0.0001262152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002869635,"about_ca_system_score_gemma":0.0002992943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02114308,"about_ca_topic_score_gemma":0.05394801,"domain_scores_codex":[0.9997926,0.0000477747,0.000006784442,0.00009511162,0.00004027329,0.0000174702],"domain_scores_gemma":[0.9997491,0.0000621213,0.00007006976,0.00003849394,0.00004964834,0.00003042637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003665288,0.0001805499,0.7834714,0.00006222892,0.0001274002,0.00008107547,0.0004902122,0.0007454392,0.1874061,0.0002430617,0.00008446417,0.02674154],"study_design_scores_gemma":[0.00001185223,0.0001775738,0.9886166,0.000005769676,0.00005334442,0.0001940302,0.0003095161,0.002732864,0.00730225,0.0002092861,0.0003740433,0.00001286414],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942361,0.0001754158,0.00450211,0.00004368078,0.000004434663,0.00001620183,0.0001120415,0.0000182459,0.00089193],"genre_scores_gemma":[0.9902893,0.0001544233,0.008421183,0.00006492951,0.00000934898,0.00003263056,0.0001113391,0.000008924765,0.0009078889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02114308,"threshold_uncertainty_score":0.04204005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03113224675120531,"score_gpt":0.2568694199231042,"score_spread":0.225737173171899,"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."}}