{"id":"W2785840933","doi":"10.1039/c7ay02570j","title":"Determination of volatile organic compounds in child care centers by thermal desorption gas chromatography-mass spectrometry","year":2018,"lang":"en","type":"article","venue":"Analytical Methods","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's Health Research Institute","funders":"National Institute of Standards and Technology; National Institutes of Health; University of Missouri","keywords":"Thermal desorption; Mass spectrometry; Gas chromatography–mass spectrometry; Gas chromatography; Chromatography; Chemistry; Environmental chemistry; Desorption; Organic chemistry; Adsorption","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":[0.0004239254,0.000398954,0.0003734583,0.0008289957,0.000529871,0.0005443733,0.0004742588,0.0004299667,0.0008695298],"category_scores_gemma":[0.0008541763,0.0002292976,0.0001838333,0.0006323194,0.0003317824,0.0002254802,0.0003275425,0.0004400723,0.0003312354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000536655,"about_ca_system_score_gemma":0.0007181957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01019928,"about_ca_topic_score_gemma":0.01748298,"domain_scores_codex":[0.999255,0.0001631342,0.00003864971,0.0001108385,0.000316777,0.0001156815],"domain_scores_gemma":[0.9996877,0.00007145991,0.0001017353,0.000009721036,0.00008704839,0.00004235584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007363827,0.0002801581,0.7207081,0.0004110543,0.0001297204,0.0004835096,0.0005380289,0.0005600178,0.2394603,0.0001469908,0.001791173,0.03475471],"study_design_scores_gemma":[0.00003489411,0.001231011,0.8294094,0.0001287803,0.0001169844,0.001973546,0.00166446,0.002697311,0.1583255,0.0001414421,0.00422757,0.00004909169],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897849,0.003455146,0.003638212,0.0001558466,0.00002601861,0.00009325492,0.001165689,0.0001144059,0.001566457],"genre_scores_gemma":[0.9872681,0.002055434,0.008790847,0.0002396833,0.00002200092,0.0000755907,0.0008163602,0.00002238023,0.0007095938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01019928,"threshold_uncertainty_score":0.02027982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008881145160198849,"score_gpt":0.2884734465923424,"score_spread":0.2795923014321436,"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."}}