{"id":"W2076790967","doi":"10.1016/j.aca.2009.12.027","title":"Analysis of ergosterol for the detection of mold in soils by automated on-fiber derivatization headspace extraction–SPME-GC/MS","year":2009,"lang":"en","type":"article","venue":"Analytica Chimica Acta","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Derivatization; Ergosterol; Saponification; Chromatography; Detection limit; Extraction (chemistry); Solid-phase microextraction; Gas chromatography–mass spectrometry; Sample preparation; Gas chromatography; Fiber; Analytical Chemistry (journal); Mass spectrometry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003799757,0.0002522168,0.0005814946,0.000239901,0.00006947533,0.00002445793,0.0003028969,0.0002206343,0.0004212374],"category_scores_gemma":[0.0006196106,0.0002084047,0.000293394,0.001325047,0.00008507073,0.00009586896,0.00002831194,0.0002242413,0.00000289794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001860493,"about_ca_system_score_gemma":0.00005948403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003817909,"about_ca_topic_score_gemma":0.00003828569,"domain_scores_codex":[0.998045,0.00004406864,0.0007935418,0.0004176726,0.000389343,0.0003104051],"domain_scores_gemma":[0.9979033,0.0008820209,0.0003867242,0.0005687553,0.0001717911,0.00008739726],"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":[0.0002107739,0.0003126758,0.000795198,0.00007135034,0.0009328371,4.642447e-7,0.0001028813,0.000469769,0.9949182,0.00002722421,0.0003183132,0.001840266],"study_design_scores_gemma":[0.0004372814,0.0000457102,0.007666992,0.00004471403,0.0009339925,0.000001248671,0.00006508932,0.2801216,0.7100343,0.00007629729,0.0003844087,0.0001883377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813941,0.00003372666,0.01075456,0.002369336,0.00003469185,0.0003566187,0.0001017493,0.0001847269,0.004770489],"genre_scores_gemma":[0.9970491,0.00004534838,0.001820085,0.000128796,0.00002678197,0.00002230539,0.0001018461,0.00002070933,0.0007850428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2848839,"threshold_uncertainty_score":0.8498498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01742501240319135,"score_gpt":0.3018537278367692,"score_spread":0.2844287154335779,"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."}}