{"id":"W2026470787","doi":"10.1016/j.talanta.2015.03.062","title":"Novel spectrophotometric method for detection and estimation of butanol in acetone–butanol–ethanol fermenter","year":2015,"lang":"en","type":"article","venue":"Talanta","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre de Recherche Industrielle du Québec; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; U.S. Department of Agriculture","keywords":"Chemistry; Butanol; Chromatography; Reagent; Acetone; 2-Butanol; Absorbance; Spectrophotometry; Fermentation; Ethanol; 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":[0.0006422452,0.001136041,0.0007780997,0.0008317168,0.0005818543,0.0005515447,0.001931161,0.001622391,0.0009579035],"category_scores_gemma":[0.0004797996,0.0007019771,0.0006070672,0.0005970064,0.0003980736,0.001192636,0.0005936117,0.0015115,0.0006899258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000574693,"about_ca_system_score_gemma":0.0005781703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007101027,"about_ca_topic_score_gemma":0.00168437,"domain_scores_codex":[0.999028,0.0001279947,0.00007107243,0.0002636107,0.0004407325,0.00006854747],"domain_scores_gemma":[0.999577,0.00008940107,0.00007798399,0.000034188,0.0001890314,0.00003249498],"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":[0.00007999318,0.00007735952,0.000213296,0.000139431,0.00002074326,0.00007760389,0.00002770339,0.00006297105,0.9927611,0.0001253042,0.0001950948,0.006219365],"study_design_scores_gemma":[0.00001896244,0.0001764584,0.0006191532,0.000007977984,0.00003485079,0.0003392244,0.00002716451,0.003159,0.9935892,0.00006494148,0.001937111,0.00002600538],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.383516,0.01323647,0.5895064,0.001615865,0.001897825,0.0005908777,0.0007455339,0.002945167,0.005945805],"genre_scores_gemma":[0.7307735,0.005747822,0.2499968,0.0007637168,0.0003039499,0.0004287042,0.000506752,0.00008254287,0.0113963],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001931161,"threshold_uncertainty_score":0.004169703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02070210847294934,"score_gpt":0.2770203846030989,"score_spread":0.2563182761301495,"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."}}