{"id":"W2605406275","doi":"10.1016/j.chroma.2017.04.016","title":"Gas chromatography with diode array detection in series with flame ionisation detection","year":2017,"lang":"en","type":"article","venue":"Journal of Chromatography A","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dow Chemical (Canada)","funders":"Australian Research Council","keywords":"Chemistry; Detection limit; Chromatography; Analyte; Flame ionization detector; Gas chromatography; Analytical Chemistry (journal); Ultraviolet; Chromatography detector; Diode; Detector; High-performance liquid chromatography; Optoelectronics; Materials science; Optics","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":[0.002757136,0.006052655,0.003242523,0.007435784,0.004202481,0.001812357,0.006538862,0.004756981,0.01388877],"category_scores_gemma":[0.003784827,0.002899037,0.002223285,0.003980549,0.002417244,0.003456418,0.003857303,0.00502524,0.01123674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001826638,"about_ca_system_score_gemma":0.00335792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003441491,"about_ca_topic_score_gemma":0.00809631,"domain_scores_codex":[0.9892948,0.001583069,0.0004663908,0.003929487,0.003881115,0.0008451554],"domain_scores_gemma":[0.9978521,0.0006716197,0.0002289062,0.0003080646,0.0007217394,0.0002177508],"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":[0.001451439,0.0007009036,0.005023396,0.00151731,0.0005560445,0.0005882524,0.0004209178,0.001092767,0.9025095,0.00403631,0.01474346,0.06735981],"study_design_scores_gemma":[0.000162113,0.0008812085,0.004095992,0.0001392174,0.0002552288,0.003268628,0.0001333707,0.01849057,0.9127575,0.002393548,0.05710929,0.0003133284],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1177193,0.01965749,0.780233,0.002357119,0.004454928,0.002670721,0.004279733,0.03847084,0.03015684],"genre_scores_gemma":[0.3570752,0.0163292,0.5460699,0.008504595,0.001664703,0.005413,0.006061881,0.002743562,0.05613797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01388877,"threshold_uncertainty_score":0.0464626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005341826534421038,"score_gpt":0.1965522680563059,"score_spread":0.1912104415218849,"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."}}