{"id":"W2118179200","doi":"10.1002/ieam.1507","title":"Passive sampling methods for contaminated sediments: Practical guidance for selection, calibration, and implementation","year":2013,"lang":"en","type":"article","venue":"Integrated Environmental Assessment and Management","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":151,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Institute of Environmental Health Sciences","keywords":"Contamination; Environmental science; Biochemical engineering; Robustness (evolution); Calibration; Sampling (signal processing); Computer science; Engineering; Chemistry; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004111874,0.0002859938,0.0002160496,0.00006007281,0.000314416,0.0001596408,0.00009641025,0.00008018271,0.001582927],"category_scores_gemma":[0.00001877523,0.0002540039,0.00004537691,0.0001199957,0.0001474225,0.0007457561,0.0001648623,0.0001011752,0.00001126193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006406567,"about_ca_system_score_gemma":0.00001310556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001143055,"about_ca_topic_score_gemma":0.00003624468,"domain_scores_codex":[0.9982961,0.000103739,0.0004200514,0.0005635262,0.0001962254,0.0004203107],"domain_scores_gemma":[0.9993233,0.00016757,0.0001958848,0.0001443497,0.000004194448,0.0001647148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006794801,0.0002759872,0.0146274,0.00004844857,0.0003418352,0.000001251483,0.0003098676,0.00003358966,0.1148849,0.001455424,0.009164649,0.8587887],"study_design_scores_gemma":[0.007292868,0.001564984,0.7699616,0.00006697606,0.0005919379,0.00004240348,0.008143734,0.08903299,0.03562354,0.009646501,0.07668283,0.001349622],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07319184,0.00004673635,0.9193952,0.002325057,0.0001699647,0.004389376,0.0001366169,0.00008124384,0.0002639569],"genre_scores_gemma":[0.6139833,0.0001541153,0.3835672,0.0005584933,0.00002558756,0.001023767,0.00008332907,0.00003530458,0.0005688185],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8574391,"threshold_uncertainty_score":0.9999912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01735499699212616,"score_gpt":0.3697006106636166,"score_spread":0.3523456136714905,"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."}}