{"id":"W2995371846","doi":"","title":"Measurement of polynuclear aromatic hydrocarbons (PAHs) in epiphytic lichens and from PM 2.5 filters for receptor modeling in the Alberta Oil Sands Region (Invited)","year":2013,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Chemical and Environmental Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Epiphyte; Lichen; Environmental chemistry; Environmental science; Oil sands; Oil spill; Environmental engineering; Chemistry; Geography; Ecology; Biology; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005131599,0.0001242628,0.0001672867,0.00006993268,0.00003319978,0.00005637358,0.0003822432,0.00006253758,4.013534e-7],"category_scores_gemma":[0.0003531754,0.00009896412,0.00003949942,0.0001386267,0.00003181996,0.0001534991,0.00009483014,0.0001753255,0.000005821204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007033279,"about_ca_system_score_gemma":0.000009126418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02451118,"about_ca_topic_score_gemma":0.001434985,"domain_scores_codex":[0.9987577,0.00003908942,0.0003245483,0.0002718478,0.0003161585,0.0002906622],"domain_scores_gemma":[0.9991522,0.0004306161,0.00006342903,0.000275019,0.000007069781,0.00007163569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001088142,0.001268546,0.04504485,0.0009529561,0.0001605224,0.00002964999,0.02609556,0.2410853,0.6141227,0.00008913575,0.001704141,0.06933776],"study_design_scores_gemma":[0.0006091669,0.00005823661,0.01970357,0.0007609529,0.000007054828,0.000003027269,0.0002047041,0.9739573,0.003506463,0.0009399412,0.00004187745,0.0002076933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971763,0.0001823036,0.0005812742,0.001561737,0.00003229991,0.0001442203,5.842592e-7,0.00001456495,0.0003066892],"genre_scores_gemma":[0.9965565,0.0000394124,0.003196297,0.0001170268,0.00002322947,0.00004568759,0.000002728805,0.00001115796,0.0000079631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.732872,"threshold_uncertainty_score":0.9819847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02862635751650791,"score_gpt":0.2100022153175969,"score_spread":0.181375857801089,"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."}}