{"id":"W2896174380","doi":"10.3390/ma11101986","title":"Efficient Extraction of a Docosahexaenoic Acid (DHA)-Rich Lipid Fraction from Thraustochytrium sp. Using Ionic Liquids","year":2018,"lang":"en","type":"article","venue":"Materials","topic":"Algal biology and biofuel production","field":"Energy","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Mara Renewables (Canada); University of Waterloo; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Canada Foundation for Innovation; BioFuelNet Canada; Alexander von Humboldt-Stiftung","keywords":"Docosahexaenoic acid; Ionic liquid; Extraction (chemistry); Chromatography; Fraction (chemistry); Chemistry; Materials science; Fatty acid; Biochemistry; Polyunsaturated fatty acid","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000415217,0.0001817004,0.0003040146,0.0001049303,0.0001794562,0.00003314432,0.0001128165,0.0003074258,0.00293733],"category_scores_gemma":[0.00009535397,0.0001568669,0.00005192583,0.0001876759,0.0001481569,0.0001167711,0.00005343379,0.0000923083,0.0004152231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001307471,"about_ca_system_score_gemma":0.00003711405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001578298,"about_ca_topic_score_gemma":0.00004287576,"domain_scores_codex":[0.9985409,0.0002040705,0.0004588262,0.0003851953,0.0001562283,0.0002547627],"domain_scores_gemma":[0.9990859,0.00003290965,0.000341479,0.0003364755,0.0001642611,0.0000389535],"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":[0.0005965988,0.00009208444,0.0001286407,0.00002177181,0.0000448093,0.000001113081,0.0001003305,0.0002116981,0.9976425,0.000219714,0.00008650073,0.000854213],"study_design_scores_gemma":[0.0003141653,0.0002529278,0.004562849,0.00003757598,0.00006667776,0.00001636651,0.00005489291,0.0001588643,0.9904023,0.0006028301,0.003355537,0.0001750155],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931011,0.0001329554,0.0007760236,0.0001122655,0.005074286,0.0002148347,0.00003409319,0.0001037655,0.0004506319],"genre_scores_gemma":[0.9953431,0.00001829323,0.0008175639,0.00005267002,0.003560212,0.00001380539,0.00008663272,0.00002146409,0.00008627998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007240227,"threshold_uncertainty_score":0.9979741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02372140295989509,"score_gpt":0.2809384628411306,"score_spread":0.2572170598812355,"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."}}