{"id":"W4296162639","doi":"10.1002/rcm.9399","title":"Impurity profile and spectrum characteristics of the isomers in cefamandole nafate using high‐ performance liquid chromatography/high‐performance size exclusion chromatography tandem ion trap/time‐of‐flight mass spectrometry","year":2022,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Antibiotics Pharmacokinetics and Efficacy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Chemistry; Impurity; Chromatography; Mass spectrometry; Forced degradation; Ion trap; Mass spectrum; Elution; Liquid chromatography–mass spectrometry; High-performance liquid chromatography; Size-exclusion chromatography; Tandem mass spectrometry; Analytical Chemistry (journal); Reversed-phase chromatography; Organic chemistry","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":[0.0002263951,0.0003840998,0.0002063605,0.0007384838,0.0002270284,0.0003450253,0.0001616292,0.0005798592,0.0005163948],"category_scores_gemma":[0.0006302936,0.0001435929,0.0002429406,0.0002985189,0.0002229642,0.000260561,0.0001252552,0.0002608964,0.0001613448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004205141,"about_ca_system_score_gemma":0.0004075976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001962744,"about_ca_topic_score_gemma":0.001819908,"domain_scores_codex":[0.9994965,0.00007254555,0.00003715844,0.0000890063,0.0002682731,0.00003651864],"domain_scores_gemma":[0.9996859,0.00005617787,0.0001040111,0.00001475884,0.0001163647,0.00002288747],"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":[0.0002430213,0.00002600219,0.003089157,0.00006314808,0.00001830572,0.0001527824,0.00003011657,0.0001598482,0.9874486,0.00004738168,0.00004387036,0.008677647],"study_design_scores_gemma":[0.00001177017,0.000301143,0.02172309,0.0000159028,0.00003988371,0.001117755,0.00004613774,0.00325246,0.9714986,0.00005453772,0.001918663,0.00002000965],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981581,0.004227625,0.01224144,0.0001248088,0.00001951022,0.00007617966,0.0003583145,0.0001258791,0.001245196],"genre_scores_gemma":[0.9831564,0.001380461,0.01378516,0.0001070478,0.00001500094,0.00006290735,0.0004059315,0.00001787707,0.001069224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001962744,"threshold_uncertainty_score":0.003902614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01189050868620492,"score_gpt":0.255516716228855,"score_spread":0.24362620754265,"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."}}