{"id":"W4253498079","doi":"10.26434/chemrxiv.7488737.v1","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":1,"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; 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":[0.01145699,0.001920145,0.001260967,0.001844472,0.001627179,0.002575378,0.002467599,0.003252182,0.003510305],"category_scores_gemma":[0.01900219,0.0009916046,0.0007297165,0.002154269,0.001701791,0.001755739,0.002464799,0.002266845,0.003233388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001046252,"about_ca_system_score_gemma":0.0012511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008775786,"about_ca_topic_score_gemma":0.001403145,"domain_scores_codex":[0.9754702,0.005909031,0.001180335,0.005031141,0.01146582,0.0009434229],"domain_scores_gemma":[0.9914126,0.00314428,0.001201714,0.001810448,0.002181048,0.0002499685],"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":[0.001047363,0.0002004648,0.007638931,0.001292436,0.0001901322,0.001004069,0.0004946406,0.0008661583,0.937639,0.003961378,0.004503519,0.0411619],"study_design_scores_gemma":[0.00002520331,0.0003212122,0.0029044,0.00008082814,0.00008672321,0.0009532729,0.000082543,0.003946079,0.9548749,0.001591449,0.03508976,0.00004371384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3357754,0.02971174,0.5911189,0.003760954,0.004434963,0.002243405,0.00427997,0.008158471,0.02051618],"genre_scores_gemma":[0.6077334,0.01022811,0.3566363,0.003592747,0.0008393966,0.001883281,0.003400182,0.002462441,0.0132242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01145699,"threshold_uncertainty_score":0.06059104,"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."}}