{"id":"W4390512908","doi":"10.14430/arctic78205","title":"Traditional Food Consumption and Other Determinants of Exposure for Lead, Cobalt, Manganese, and Hexachlorobenzene in Northern Canada","year":2023,"lang":"en","type":"article","venue":"ARCTIC","topic":"Heavy Metal Exposure and Toxicity","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo","keywords":"Hexachlorobenzene; Biomonitoring; Population; Environmental health; Physiology; Geography; Biology; Demography; Medicine; Ecology; Pollutant","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"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":[0.000402938,0.0003222429,0.0003441044,0.0008234991,0.002131862,0.000975594,0.0006900797,0.0002295056,0.001468971],"category_scores_gemma":[0.0009212045,0.000243689,0.0004192091,0.001727941,0.0006200218,0.0001853671,0.0006218345,0.0003350188,0.0001138661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01575213,"about_ca_system_score_gemma":0.01492848,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9964132,"about_ca_topic_score_gemma":0.9982988,"domain_scores_codex":[0.9995329,0.00004038847,0.00002212719,0.0001172689,0.0001223985,0.0001649314],"domain_scores_gemma":[0.999078,0.00006929075,0.0001252668,0.00004257016,0.0004440229,0.0002407783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009239526,0.00003240708,0.992636,0.00002334769,0.00006867255,0.0001517653,0.001165324,0.0002080193,0.0007954688,0.0001079503,0.0004193244,0.004299284],"study_design_scores_gemma":[0.000003897073,0.00001587437,0.9970113,0.00001281515,0.00002492478,0.00004759684,0.00189964,0.0002356701,0.0001114062,0.00002393637,0.0006048069,0.000008081695],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975389,0.0002570917,0.0001492964,0.00008425037,0.000004600469,0.00001336382,0.00101676,0.00000645493,0.0009292428],"genre_scores_gemma":[0.9975153,0.000242837,0.0002332726,0.00004999607,0.000001632525,0.000007559913,0.0004884495,0.000004270182,0.001456724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01575213,"threshold_uncertainty_score":0.1142903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04090761176915662,"score_gpt":0.2380664982455561,"score_spread":0.1971588864763995,"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."}}