{"id":"W4232569800","doi":"10.26434/chemrxiv.7488737","title":"Confounding contaminants in mass spectrometric reaction monitoring","year":2018,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Vulcanization; Natural rubber; Mass spectrometry; Chemistry; Contamination; Solvent; Trace Amounts; Polymer; Chromatography; Environmental chemistry; Radiochemistry; 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":[0.01111493,0.001901879,0.001219852,0.00182464,0.001718653,0.002906857,0.002649806,0.003168776,0.004503824],"category_scores_gemma":[0.01971176,0.001009705,0.0006888099,0.002298708,0.001724802,0.00209453,0.00270334,0.002198913,0.004266589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001126313,"about_ca_system_score_gemma":0.001387736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009807579,"about_ca_topic_score_gemma":0.001469984,"domain_scores_codex":[0.9759902,0.005347999,0.001080477,0.0052975,0.01136432,0.0009195548],"domain_scores_gemma":[0.9912821,0.003054087,0.001211696,0.001983361,0.002225465,0.0002431769],"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":[0.001067554,0.0002273108,0.007873062,0.001425727,0.0002057799,0.001108955,0.0005405148,0.001034929,0.9122054,0.00573517,0.007245175,0.06133055],"study_design_scores_gemma":[0.00002650698,0.0003274217,0.003069174,0.00009737197,0.00008555171,0.001002533,0.00008871181,0.005027532,0.9401684,0.0021386,0.04791787,0.00005040759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2707791,0.02513506,0.6522209,0.004008666,0.004522483,0.002176404,0.004415502,0.01030626,0.02643568],"genre_scores_gemma":[0.5865484,0.008923262,0.372932,0.003949902,0.0009356078,0.001845681,0.003903174,0.003291925,0.01767001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01111493,"threshold_uncertainty_score":0.0587821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0319203109473259,"score_gpt":0.3126163454271937,"score_spread":0.2806960344798679,"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."}}