{"id":"W2031287852","doi":"10.1021/ac000245u","title":"Structural Analysis of Polymer End Groups by Electrospray Ionization High-Energy Collision-Induced Dissociation Tandem Mass Spectrometry","year":2000,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Collision-induced dissociation; Electrospray ionization; Tandem mass spectrometry; Fragmentation (computing); Mass spectrometry; Dissociation (chemistry); Ion; Electrospray; Ion source; Analytical Chemistry (journal); Mass spectrum; Ionization; Ethylene glycol; Tandem; Chromatography; Physical chemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000306192,0.0005050289,0.0002304083,0.0009355525,0.0002762764,0.0003152271,0.0003215073,0.0003749262,0.0009945362],"category_scores_gemma":[0.0006287238,0.0001392424,0.0001905435,0.0005587214,0.0002703273,0.0004464517,0.000191556,0.0005470724,0.000463303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000244407,"about_ca_system_score_gemma":0.0003249423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003147583,"about_ca_topic_score_gemma":0.0004670668,"domain_scores_codex":[0.9998302,0.00002036511,0.0000106355,0.00003815248,0.0000827802,0.00001772557],"domain_scores_gemma":[0.9996881,0.00008408195,0.00006742129,0.00002235363,0.0001025007,0.00003551325],"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":[0.00005870388,0.00001882933,0.0004775749,0.00003232295,0.000006238773,0.00004490101,0.00001308022,0.0000829699,0.9928276,0.0001318425,0.00004711113,0.006258717],"study_design_scores_gemma":[0.00001434236,0.0002273641,0.005726602,0.000009052826,0.00002018989,0.0004060209,0.0000198655,0.001739758,0.9884335,0.0002519375,0.003141162,0.00001016997],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8501676,0.006835246,0.1341732,0.0003519878,0.00008062991,0.0002168624,0.001975286,0.0005199049,0.0056792],"genre_scores_gemma":[0.797612,0.00761113,0.1855676,0.0002869583,0.00004935938,0.0002193258,0.003834422,0.0001247352,0.004694442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009945362,"threshold_uncertainty_score":0.003327072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005222609544002519,"score_gpt":0.2334219307284896,"score_spread":0.2281993211844871,"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."}}