{"id":"W2312277628","doi":"10.1021/es403353d","title":"Recognizing the Limitations of Performance Reference Compound (PRC)-Calibration Technique in Passive Water Sampling","year":2013,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Calibration; Sampling (signal processing); Passive sampling; Environmental science; Computer science; Remote sensing; Statistics; Mathematics; Telecommunications; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02083849,0.00119868,0.0007919204,0.002272062,0.001337767,0.002941312,0.003437785,0.002926031,0.0140873],"category_scores_gemma":[0.02165017,0.0007390248,0.0005841912,0.002572665,0.001481095,0.002486654,0.002228577,0.002844634,0.01662063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604058,"about_ca_system_score_gemma":0.003168602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004588583,"about_ca_topic_score_gemma":0.01015709,"domain_scores_codex":[0.9773686,0.007352724,0.0008105076,0.002437526,0.01131454,0.0007161974],"domain_scores_gemma":[0.9871437,0.004133635,0.001047947,0.001829706,0.005602064,0.0002428937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005929146,0.0004381005,0.02505765,0.002715986,0.0001762077,0.0005800646,0.000733788,0.002963176,0.3075431,0.01379531,0.1001333,0.5452704],"study_design_scores_gemma":[0.00007442221,0.00104856,0.01314057,0.0006467489,0.0001752798,0.001231067,0.0007755046,0.01352703,0.4827479,0.009619804,0.4768587,0.0001543905],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06844886,0.0179066,0.7415043,0.02184774,0.008384741,0.002594012,0.008117869,0.00610107,0.1250949],"genre_scores_gemma":[0.4443491,0.01943626,0.4282724,0.01116541,0.001989704,0.00222139,0.007038769,0.002249409,0.08327773],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02083849,"threshold_uncertainty_score":0.1102058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03138267000024798,"score_gpt":0.2200413175695832,"score_spread":0.1886586475693352,"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."}}