{"id":"W1968325101","doi":"10.1021/ac990746j","title":"Calibration of Membrane Extraction for Air Analysis","year":2000,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Chemistry; Partition coefficient; Calibration; Extraction (chemistry); Analyte; Membrane; Chromatography; Constant (computer programming); Analytical Chemistry (journal); Biological system; Diffusion; Thermodynamics; Statistics; Computer science","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":[0.003665173,0.001884229,0.001091094,0.00133698,0.0007483267,0.0008264947,0.002340213,0.002483098,0.002755287],"category_scores_gemma":[0.005904239,0.0006756255,0.001069154,0.001116624,0.0005960017,0.001351098,0.0016488,0.001797904,0.00486422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007892509,"about_ca_system_score_gemma":0.0007974454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004272996,"about_ca_topic_score_gemma":0.0004730909,"domain_scores_codex":[0.9932907,0.001832977,0.0002998382,0.00142219,0.002869055,0.0002852402],"domain_scores_gemma":[0.9980552,0.0006709625,0.0002152198,0.000380661,0.0006319601,0.00004593845],"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":[0.0001804249,0.00008482724,0.0008118608,0.0004649765,0.00006487037,0.00009006848,0.00007838506,0.002011158,0.9350043,0.001974166,0.001455772,0.05777917],"study_design_scores_gemma":[0.00001673388,0.0002033749,0.0009318854,0.00003964426,0.00002817834,0.0003722183,0.00002695785,0.02082516,0.9589838,0.001163311,0.01736752,0.00004135305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03668213,0.005257973,0.9497014,0.0004162311,0.0006675979,0.0004861235,0.0005270202,0.002369749,0.003891785],"genre_scores_gemma":[0.3700204,0.01054793,0.6054778,0.001000353,0.0003351598,0.002091852,0.001962824,0.0006046764,0.007959157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003665173,"threshold_uncertainty_score":0.01938355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0114485494789219,"score_gpt":0.2574743341724774,"score_spread":0.2460257846935555,"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."}}