{"id":"W3185905751","doi":"10.1016/j.chroma.2021.462429","title":"Thermal modulation to enhance two-dimensional liquid chromatography separations of polymers","year":2021,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Ministerie van Economische Zaken; Diagnostic Services Manitoba; BASF","keywords":"Chemistry; Polymer; Chromatography; Size-exclusion chromatography; Polystyrene; Analyte; Two-dimensional chromatography; Analytical Chemistry (journal); Gas chromatography; Resolution (logic); Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003771729,0.0006736774,0.000320076,0.0003401348,0.0001716946,0.0004036801,0.0004311191,0.0004697823,0.001624061],"category_scores_gemma":[0.0005318606,0.0003127521,0.0002741437,0.0003018268,0.0003810835,0.0005532693,0.0004298032,0.001221287,0.0009087342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002777438,"about_ca_system_score_gemma":0.000187278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002235958,"about_ca_topic_score_gemma":0.000409928,"domain_scores_codex":[0.9996624,0.00006199802,0.00001915444,0.00008933762,0.0001139596,0.00005311303],"domain_scores_gemma":[0.9998015,0.00008316436,0.00003995665,0.0000206078,0.000034465,0.00002040994],"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":[0.00002225481,0.0000204822,0.00002103923,0.00004565638,0.000002841393,0.00001563044,0.00001458859,0.00005569147,0.9973327,0.00009384318,0.00006352709,0.002311763],"study_design_scores_gemma":[0.000005716861,0.00005744809,0.0002775827,0.000004134424,0.000005114714,0.00006483322,0.000003960543,0.001073862,0.9966065,0.00003433177,0.001859961,0.000006702326],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6470169,0.01511991,0.3265143,0.0008247819,0.0004977789,0.0004714949,0.0004395876,0.002434862,0.006680377],"genre_scores_gemma":[0.8554413,0.007397108,0.1274839,0.0008972204,0.0001818242,0.0005594978,0.00053492,0.0003626917,0.007141517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001624061,"threshold_uncertainty_score":0.005432963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007696770819620411,"score_gpt":0.2686639696699853,"score_spread":0.260967198850365,"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."}}