{"id":"W4251398466","doi":"10.21203/rs.3.rs-25580/v1","title":"Patterns of Fish and Whale Consumption in Relation to Methylmercury in Hair among Residents of Western Canadian Arctic Communities","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Alberta Innovates; ArcticNet","keywords":"Whale; Methylmercury; Arctic; Fishery; Fish <Actinopterygii>; Consumption (sociology); The arctic; Geography; Environmental science; Ecology; Oceanography; Biology; Geology; Art","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002704817,0.0002441816,0.0002323857,0.001133298,0.002148291,0.0008208104,0.0006536212,0.000477804,0.002138976],"category_scores_gemma":[0.001062544,0.0003294327,0.0003127365,0.002108411,0.0006079009,0.0003324581,0.0006928616,0.0003746011,0.0002219797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003386729,"about_ca_system_score_gemma":0.003017824,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9523375,"about_ca_topic_score_gemma":0.9798626,"domain_scores_codex":[0.9996341,0.00003581464,0.0000150959,0.00007866311,0.00008119344,0.00015504],"domain_scores_gemma":[0.9991168,0.0000563242,0.0001631512,0.00002287881,0.0003979204,0.0002429015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009669831,0.00002130471,0.9936563,0.00001327414,0.00004214505,0.00004869178,0.003326575,0.00004351615,0.0009253934,0.00002462128,0.0001951216,0.001606449],"study_design_scores_gemma":[5.471881e-7,0.000009042129,0.9975626,0.000003090052,0.000004611208,0.00001653403,0.002234606,0.0000269016,0.00003226806,0.000004988954,0.0001023412,0.000002369304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989045,0.00005781131,0.00002777836,0.00002913905,0.0000015417,0.000004780075,0.0005285473,0.000001633576,0.000444288],"genre_scores_gemma":[0.9983285,0.00008972029,0.00008332918,0.00001945066,0.000001634685,0.000007144123,0.0003393903,0.00000238988,0.001128454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0476625,"threshold_uncertainty_score":0.09588635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.108741610810843,"score_gpt":0.3772566912547219,"score_spread":0.2685150804438789,"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."}}