{"id":"W6944283520","doi":"10.18164/61c2cca0-f62e-4189-baef-f7cfb14394ef","title":"Hunter-Trapper Harvested Wildlife Contaminants and Toxicology, Oil Sands Region","year":2012,"lang":"en","type":"dataset","venue":"ECCC Data Catalogue","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada; Gouvernement du Québec; Environment and Climate Change Canada","funders":"","keywords":"Oil sands; Transect; Wildlife; Contamination; Qinghai lake; Heavy metals; Wet weight","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002408242,0.0002884524,0.0001778859,0.001480822,0.001015122,0.0005904562,0.0003305294,0.0001767746,0.002451599],"category_scores_gemma":[0.0002902414,0.0002128861,0.0001965523,0.0008754694,0.0002894049,0.0001529759,0.0004516274,0.0001430618,0.0004244338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001318017,"about_ca_system_score_gemma":0.0009185462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2011202,"about_ca_topic_score_gemma":0.6685961,"domain_scores_codex":[0.9997591,0.00001472124,0.0000130013,0.00007438149,0.0001006822,0.0000380439],"domain_scores_gemma":[0.9997312,0.00001263715,0.00008071091,0.00001435197,0.00009315683,0.0000678498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000166629,0.00005082159,0.9693689,0.00004799684,0.00007624438,0.0003417245,0.001257039,0.00005162083,0.01387204,0.00003174819,0.000678425,0.01405676],"study_design_scores_gemma":[0.000001185875,0.00003616586,0.9977463,0.000006121613,0.00001204202,0.0001089692,0.0005575741,0.00002301762,0.000752213,0.000004203253,0.0007502621,0.00000190185],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9971281,0.0001366293,0.0001081394,0.00001121573,0.000002887088,0.00002729133,0.001049654,0.0000157494,0.001520376],"genre_scores_gemma":[0.9855364,0.0003355903,0.001362367,0.00007390066,0.000006351832,0.0000513747,0.002826055,0.000009465393,0.009798482],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.7988797,"threshold_uncertainty_score":0.3998992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.100198229143626,"score_gpt":0.3265884994116103,"score_spread":0.2263902702679843,"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."}}