{"id":"W2118701705","doi":"10.1073/pnas.1008754107","title":"Oil sands development contributes elements toxic at low concentrations to the Athabasca River and its tributaries","year":2010,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Petroleum Processing and Analysis","field":"Chemistry","cited_by":487,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Alberta","funders":"Parks Canada; Government of Alberta","keywords":"Oil sands; Environmental science; Tributary; Mercury (programming language); Environmental chemistry; Hydrology (agriculture); Tailings; Particulates; Asphalt; Geology; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007613254,0.00009325357,0.0001330773,0.00006304183,0.0006946005,0.00006150961,0.000587063,0.00006612286,0.00005536446],"category_scores_gemma":[0.0007196729,0.00005394278,0.00004369903,0.0004247723,0.0005143782,0.0002162188,0.0001862548,0.0001565036,0.000002172211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003897598,"about_ca_system_score_gemma":0.00006854067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003004331,"about_ca_topic_score_gemma":0.000002076255,"domain_scores_codex":[0.9985883,0.000002166499,0.000298205,0.0002076157,0.0007359339,0.0001677467],"domain_scores_gemma":[0.9992667,0.0001025695,0.0002757683,0.000008992984,0.0003005482,0.00004545347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001655033,0.00003524137,0.02899071,0.00006869182,0.00004869707,3.673917e-9,0.0006318701,0.00001477974,0.9623488,0.005746308,0.0005093014,0.001589028],"study_design_scores_gemma":[0.0002367883,0.000006655172,0.02012117,0.00009641478,0.00002872175,0.000002694477,0.0002011872,0.001107402,0.9672322,0.0007256569,0.01015225,0.00008888817],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914678,0.0002103173,6.853626e-7,0.005065061,0.00001284255,0.00001123326,0.00003711875,0.000009525289,0.003185441],"genre_scores_gemma":[0.9961874,0.00002419632,0.0004054903,0.0002391081,0.00004868276,0.00001623317,7.857965e-7,0.000002487385,0.003075559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009642952,"threshold_uncertainty_score":0.5342376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01848253654241904,"score_gpt":0.2721577604950951,"score_spread":0.2536752239526761,"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."}}