{"id":"W7036049075","doi":"","title":"Applications of mass spectrometry in clinical chemistry and biomedical research","year":2007,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Ammonia Synthesis and Nitrogen Reduction","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Mass spectrometry; Urine; Nephrotoxicity; Liquid chromatography–mass spectrometry; Urinary system; Quantitative analysis (chemistry); Tandem mass spectrometry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.003357207,0.0004168047,0.0008141584,0.0005453618,0.0002372351,0.00002224879,0.00050894,0.00154345,0.000286388],"category_scores_gemma":[0.00145107,0.0004536997,0.0002657745,0.001411741,0.0002427927,0.0001507103,0.0001050767,0.003194759,0.00005994746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000466652,"about_ca_system_score_gemma":0.00006635112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001344265,"about_ca_topic_score_gemma":0.00004752197,"domain_scores_codex":[0.9955848,0.0001854309,0.001532586,0.0009680309,0.001024809,0.0007043537],"domain_scores_gemma":[0.9974331,0.0008540298,0.0003692649,0.0006309283,0.0003123118,0.0004003912],"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":[0.0001976861,0.0004529381,0.0001472985,0.0009046718,0.0001437992,0.00002528574,0.000004084626,0.000001890805,0.8195855,0.0101472,0.000004440348,0.1683852],"study_design_scores_gemma":[0.0008057901,0.00008682575,0.0014764,0.0005567327,0.0001066043,0.00002559292,0.0006636154,0.0001165771,0.9662774,0.006805098,0.02238997,0.0006893479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695966,0.0008646399,0.000009215401,0.00001134465,0.0002069901,0.0004721026,0.0002553976,0.00009210649,0.02849163],"genre_scores_gemma":[0.9907582,0.0006608418,0.004246409,0.000008667006,0.0001983401,0.0001703305,0.0004947375,0.0001444406,0.003318018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1676958,"threshold_uncertainty_score":0.9997915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02845924771458321,"score_gpt":0.3399858622838887,"score_spread":0.3115266145693055,"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."}}