{"id":"W2072420330","doi":"10.1016/j.foodchem.2004.04.002","title":"Development of solid-phase microextraction methodology for analysis of headspace volatile compounds in simulated beef flavour","year":2004,"lang":"en","type":"article","venue":"Food Chemistry","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Solid-phase microextraction; Chromatography; Chemistry; Adsorption; Fractional factorial design; Desorption; Flavour; Factorial experiment; Analytical Chemistry (journal); Mass spectrometry; Gas chromatography–mass spectrometry; Organic chemistry; Food science","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":[0.00005469884,0.0001302099,0.0004116865,0.0001024244,0.00001335628,0.00000162636,0.0001258153,0.0002064328,0.000008250076],"category_scores_gemma":[0.0001176443,0.0001490016,0.00008903383,0.0004815127,0.00004482958,0.00003249837,0.000022959,0.0001393402,2.308805e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000180212,"about_ca_system_score_gemma":0.00001296336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003917089,"about_ca_topic_score_gemma":0.00002368651,"domain_scores_codex":[0.9991654,0.000003689699,0.0004108543,0.000157148,0.0000721945,0.0001907716],"domain_scores_gemma":[0.9995018,0.000129453,0.0001060875,0.0001838677,0.00005162053,0.00002719383],"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":[0.00003315983,0.00007097876,0.00002151889,0.0001545646,0.000290482,4.792147e-7,0.000145858,0.1944585,0.8043254,0.000003917141,0.000004879445,0.0004902608],"study_design_scores_gemma":[0.0009299773,0.0000262992,0.00003640117,0.00002532083,0.00009235409,0.000001000625,0.0001869621,0.008013475,0.9900472,0.0003343435,0.0001778234,0.0001288221],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.954684,0.0001168216,0.04485376,0.00001459275,0.00001726391,0.00007860583,0.00006206634,0.0001326001,0.00004034176],"genre_scores_gemma":[0.901287,0.000005262687,0.09858748,0.000001604492,0.000006214123,0.000008736572,0.00008146193,0.00001560935,0.000006621789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.186445,"threshold_uncertainty_score":0.6076108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0499828814007941,"score_gpt":0.3519468449583106,"score_spread":0.3019639635575165,"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."}}