{"id":"W2043073163","doi":"10.1016/j.biortech.2013.06.094","title":"FT-IR/ATR univariate and multivariate calibration models for in situ monitoring of sugars in complex microalgal culture media","year":2013,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Algal biology and biofuel production","field":"Energy","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Rimouski; Université de Sherbrooke","funders":"","keywords":"Univariate; In situ; Multivariate statistics; Sugar; Attenuated total reflection; Biological system; Chemistry; Multivariate analysis; Calibration; Chromatography; Environmental science; Process engineering; Food science; Infrared spectroscopy; Mathematics; Biology; Statistics; Engineering; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001455326,0.0001599643,0.0002708008,0.0003644163,0.00004703115,0.000008882729,0.000168759,0.000628332,0.000009985333],"category_scores_gemma":[0.0001037595,0.000139398,0.00002890506,0.0003552925,0.0002309021,0.0001282474,0.0000929748,0.000221008,0.000003183508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004649644,"about_ca_system_score_gemma":0.00001337368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001691007,"about_ca_topic_score_gemma":0.0006405216,"domain_scores_codex":[0.9989316,0.00005979054,0.0003329974,0.0003426466,0.0000525725,0.0002803675],"domain_scores_gemma":[0.9995427,0.00004784759,0.0001248692,0.0001961775,0.00006009483,0.00002838404],"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":[0.0001065612,0.00007186766,0.04157368,0.00003663553,0.00001943646,0.000001894571,0.0008876307,0.0003250822,0.9355117,0.01219345,0.00006261843,0.009209435],"study_design_scores_gemma":[0.004943658,0.0004741101,0.3543009,0.0001335591,0.00004396023,0.00003275764,0.00408962,0.01804975,0.4989931,0.1153524,0.002773304,0.0008128787],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972721,0.000380057,0.0006267375,0.001013823,0.00008965644,0.0003898516,0.000009377848,0.0001097153,0.0001086992],"genre_scores_gemma":[0.9922974,0.00004557988,0.007382876,0.00001962502,0.00007600621,0.00006383763,0.00005677867,0.00001504234,0.00004286567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4365186,"threshold_uncertainty_score":0.5684484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02301370983930712,"score_gpt":0.2417293972442054,"score_spread":0.2187156874048983,"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."}}