{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000774873,0.0003841787,0.000519605,0.0001048413,0.0006838043,0.0003120475,0.00149846,0.0008712835,0.0005906709],"category_scores_gemma":[0.0004125905,0.0003330654,0.00004622176,0.0002375469,0.0007787024,0.0008792552,0.001123046,0.0006053814,0.000295076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001654217,"about_ca_system_score_gemma":0.0004099154,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0279295,"about_ca_topic_score_gemma":0.148895,"domain_scores_codex":[0.9974358,0.0002243548,0.0004382527,0.0007626059,0.0003993974,0.000739561],"domain_scores_gemma":[0.9978755,0.0001433882,0.0003015331,0.001207078,0.00007657828,0.0003959198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001621438,0.0000702441,0.0006319101,0.00004733434,0.00006667581,0.00004525668,0.0003901854,1.173854e-8,0.000001095487,0.00002143272,0.9922563,0.006453375],"study_design_scores_gemma":[0.0003247909,0.00003394227,0.002534539,0.00013808,0.0001062415,0.00003496516,0.001137561,2.86697e-7,0.000001563055,0.000003656645,0.9952145,0.0004698553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005882641,0.001272725,0.000001506894,0.003311335,0.001510699,0.0002224033,0.9927108,0.00005382511,0.0003284015],"genre_scores_gemma":[0.000354097,0.004520311,0.00001908333,0.001213405,0.001150897,0.00002885563,0.9763457,0.0000179032,0.0163497],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1209655,"threshold_uncertainty_score":0.9999121,"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."}}