{"id":"W2133931652","doi":"10.1007/s00216-006-0333-5","title":"Determination of a wide range of volatile and semivolatile organic compounds in snow by use of solid-phase micro-extraction (SPME)","year":2006,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Toxic Organic Pollutants Impact","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Solid-phase microextraction; Solid phase extraction; Snow; Extraction (chemistry); Chromatography; Environmental chemistry; Chemistry; Volatile organic compound; Analytical Chemistry (journal); Gas chromatography–mass spectrometry; Organic chemistry; Mass spectrometry; Meteorology","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":[0.0001665495,0.0005099343,0.0003978118,0.0004839485,0.0004160104,0.00026836,0.0002316407,0.0004109964,0.0003369234],"category_scores_gemma":[0.0003033101,0.0002012891,0.0003065872,0.0003908622,0.0002148105,0.0003339126,0.0002791585,0.0003401019,0.0001789829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001332578,"about_ca_system_score_gemma":0.0003365988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001087436,"about_ca_topic_score_gemma":0.002897999,"domain_scores_codex":[0.9998305,0.00001969552,0.00001244624,0.00004639765,0.00007032209,0.00002062118],"domain_scores_gemma":[0.9998125,0.00007429266,0.00002465129,0.00001239643,0.000052802,0.00002329723],"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":[0.00006397202,0.0000162318,0.001341726,0.00005150685,0.00001853081,0.00004451305,0.00002319854,0.00006884895,0.9931284,0.00002535363,0.00002648232,0.005191174],"study_design_scores_gemma":[0.000009975742,0.0003645575,0.01282426,0.00001397898,0.00004282993,0.0003600495,0.00006569852,0.001116858,0.9823619,0.0002041187,0.002626627,0.00000913358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566277,0.004953877,0.0343377,0.0001224842,0.00008378891,0.0001334909,0.001244976,0.0001057331,0.002390302],"genre_scores_gemma":[0.9403697,0.006006496,0.04829584,0.0002096697,0.00006942604,0.0001477116,0.001862378,0.00004032993,0.002998484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001087436,"threshold_uncertainty_score":0.002162218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009200113518442752,"score_gpt":0.2665920877500574,"score_spread":0.2573919742316146,"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."}}