{"id":"W1503575664","doi":"","title":"LC/MS/MS를 이용한 벌꿀 중 잔류 클로람페니콜의 분석","year":2009,"lang":"ko","type":"article","venue":"Journal of Apiculture","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chloramphenicol; Chromatography; Extraction (chemistry); Chemistry; Detection limit; Liquid chromatography–mass spectrometry; Mass spectrometry; Antibiotics; Biochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002033351,0.003599715,0.002103244,0.005061216,0.002424951,0.001480631,0.001997323,0.00204068,0.04641702],"category_scores_gemma":[0.002715459,0.001287488,0.001521802,0.002665832,0.001669378,0.002120386,0.002211856,0.002865349,0.02895263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509707,"about_ca_system_score_gemma":0.003046838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003442722,"about_ca_topic_score_gemma":0.00549771,"domain_scores_codex":[0.9958538,0.0002815264,0.0003791956,0.001608462,0.001512247,0.0003648732],"domain_scores_gemma":[0.9986423,0.0001981285,0.0002325307,0.0001173105,0.0007100371,0.00009984097],"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":[0.001714209,0.0009612538,0.007667603,0.003774364,0.001065066,0.001577811,0.0003071871,0.00137825,0.6968429,0.005285744,0.03489756,0.2445281],"study_design_scores_gemma":[0.0005472922,0.001935765,0.01623415,0.0006840618,0.0008673224,0.007251146,0.0002698445,0.0139398,0.6575458,0.003747549,0.2963859,0.000591253],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1618313,0.03619891,0.4839834,0.003339573,0.005597937,0.01046176,0.04972604,0.05767833,0.1911828],"genre_scores_gemma":[0.2654098,0.02199096,0.4942091,0.01298877,0.001471676,0.01291451,0.0491004,0.003165297,0.1387495],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04641702,"threshold_uncertainty_score":0.1552804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02228580551436872,"score_gpt":0.275563714349788,"score_spread":0.2532779088354193,"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."}}