{"id":"W2092505400","doi":"10.1021/ac802022z","title":"Low Thermal Mass Liquid Chromatography","year":2009,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dow Chemical (Canada)","funders":"Dow Chemical Company","keywords":"Chemistry; Van Deemter equation; Isothermal process; Analyte; Analytical Chemistry (journal); Chromatography; Elution; Volumetric flow rate; Selectivity; Atmospheric temperature range; Mass transfer; Temperature gradient; Temperature control; High-performance liquid chromatography; Thermodynamics; Catalysis","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":[0.001046692,0.001635678,0.001025785,0.001308378,0.0007704929,0.001596172,0.001587001,0.001586114,0.004968517],"category_scores_gemma":[0.001517242,0.0004263552,0.0006448627,0.0009701789,0.0008910868,0.001362323,0.001234207,0.002546328,0.006502076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000796196,"about_ca_system_score_gemma":0.0009274106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004766849,"about_ca_topic_score_gemma":0.0008024215,"domain_scores_codex":[0.9980608,0.0003835265,0.00008870468,0.0005371663,0.0007795401,0.0001502487],"domain_scores_gemma":[0.9992811,0.0001984822,0.0001189458,0.0001025164,0.0002319459,0.00006693938],"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":[0.0001205336,0.0001181382,0.0006080185,0.0005001248,0.00006539225,0.0002187689,0.00005051141,0.0003040887,0.9080106,0.002013448,0.003402833,0.08458745],"study_design_scores_gemma":[0.00002701396,0.0003463668,0.001210828,0.00006488636,0.00006242775,0.001500332,0.00003300833,0.005249146,0.9321121,0.0006937138,0.05863927,0.00006092139],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06061826,0.04782974,0.8518058,0.001971442,0.002120656,0.001039673,0.001947191,0.01012373,0.0225435],"genre_scores_gemma":[0.2621849,0.02824477,0.6636564,0.005354791,0.00146976,0.001785135,0.004723912,0.0008730688,0.03170727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004968517,"threshold_uncertainty_score":0.01662135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006809824408307075,"score_gpt":0.2271528347194146,"score_spread":0.2203430103111075,"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."}}