{"id":"W2057464370","doi":"10.1016/j.trac.2012.07.021","title":"The challenge of producing reliable results under highly variable conditions and the role of passive air samplers in the Global Monitoring Plan","year":2012,"lang":"en","type":"article","venue":"TrAC Trends in Analytical Chemistry","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Plan (archaeology); Context (archaeology); Work (physics); Air monitoring; Environmental monitoring; Environmental resource management; Computer science; Environmental planning; Risk analysis (engineering); Environmental science; Business; Engineering; Environmental engineering; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.07028116,0.001747296,0.00296902,0.001792157,0.001472759,0.005038871,0.003698471,0.004382243,0.001678437],"category_scores_gemma":[0.05185032,0.0009978984,0.001161786,0.002457847,0.004761932,0.007632019,0.003148614,0.005975225,0.001453194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002526679,"about_ca_system_score_gemma":0.006213488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01094937,"about_ca_topic_score_gemma":0.01398052,"domain_scores_codex":[0.9670708,0.0160312,0.001440316,0.004171196,0.01043218,0.0008543489],"domain_scores_gemma":[0.8946506,0.05212099,0.00919302,0.0125351,0.03053674,0.0009635944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001159973,0.0007071556,0.07932004,0.004571227,0.0009008059,0.0003045812,0.001947244,0.0638758,0.1739245,0.02578407,0.02924749,0.6182571],"study_design_scores_gemma":[0.0003015341,0.003963928,0.1094252,0.002018443,0.001263135,0.00257551,0.01044315,0.1522528,0.2696326,0.1418045,0.3052012,0.001117987],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.1572549,0.0419598,0.6876771,0.08388051,0.002953417,0.0012014,0.005702948,0.00286702,0.01650296],"genre_scores_gemma":[0.4669222,0.0168698,0.4935969,0.01091263,0.002241837,0.00126019,0.002422383,0.0008828356,0.004891187],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.07028116,"threshold_uncertainty_score":0.3716868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673364198465053,"score_gpt":0.2698740255355561,"score_spread":0.2531403835509055,"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."}}