{"id":"W2330709470","doi":"10.1021/ac3033245","title":"In Vivo Solid-Phase Microextraction with in Vitro Calibration: Determination of Off-Flavor Components in Live Fish","year":2013,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; University of Waterloo","funders":"University of Guelph","keywords":"Chemistry; Solid-phase microextraction; Chromatography; Fish <Actinopterygii>; Flavor; In vivo; In vitro; Phase (matter); Food science; Mass spectrometry; Gas chromatography–mass spectrometry; Biochemistry; Fishery; Organic chemistry; Biotechnology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004256139,0.0007161222,0.00029363,0.0002681357,0.0002840496,0.0002515518,0.0003434296,0.0005426652,0.0004902589],"category_scores_gemma":[0.0003766216,0.0002788755,0.0002786615,0.0002654476,0.0003299768,0.000264353,0.0003126364,0.0003755827,0.0002418142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004126173,"about_ca_system_score_gemma":0.0004617124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002903912,"about_ca_topic_score_gemma":0.007228386,"domain_scores_codex":[0.9995587,0.00009350378,0.00003166173,0.0001277436,0.0001537013,0.00003459987],"domain_scores_gemma":[0.9998245,0.00004318792,0.0000492662,0.00002025575,0.0000484085,0.00001449334],"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":[0.00004031376,0.00001667839,0.0003874545,0.00002318276,0.000003709709,0.00001082352,0.00001486043,0.00008654669,0.9984968,0.00001251564,0.000007118169,0.0009000137],"study_design_scores_gemma":[0.000004781738,0.0002176704,0.001549725,0.000003172086,0.000009941961,0.00004177124,0.00002481998,0.00106358,0.9966764,0.00001319069,0.0003891819,0.000005711247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.947704,0.0009110254,0.04894478,0.0001221748,0.00003878024,0.0001758296,0.0004414099,0.0001190032,0.001543124],"genre_scores_gemma":[0.9032691,0.001731554,0.08845264,0.0001326597,0.00001428964,0.0003139647,0.0005676111,0.00003334312,0.005484801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002903912,"threshold_uncertainty_score":0.005774081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0107577889206382,"score_gpt":0.2599442486984224,"score_spread":0.2491864597777842,"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."}}