{"id":"W2340945709","doi":"10.1021/acssuschemeng.5b00967","title":"Disruption and Wet Extraction of the Microalgae <i>Chlorella vulgaris</i> Using Room-Temperature Ionic Liquids","year":2015,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Algal biology and biofuel production","field":"Energy","cited_by":160,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; BioFuelNet Canada; Canadian Institutes of Health Research; Alexander von Humboldt-Stiftung","keywords":"Ionic liquid; Extraction (chemistry); Chemistry; Chlorella vulgaris; Solvent; Chromatography; Biodiesel production; Biodiesel; Organic chemistry; Botany; Algae; Catalysis","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":[0.00009224794,0.0004991048,0.0002428845,0.0001909322,0.0001870973,0.0002405433,0.0003371819,0.0002638341,0.0005376575],"category_scores_gemma":[0.00009101297,0.0001926053,0.0003048324,0.000190709,0.0001598392,0.0002313021,0.0003301908,0.0003519311,0.0003762112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002448992,"about_ca_system_score_gemma":0.0002212136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001037405,"about_ca_topic_score_gemma":0.002434958,"domain_scores_codex":[0.9998448,0.00001032768,0.00001380856,0.00003918619,0.0000544673,0.00003740674],"domain_scores_gemma":[0.9999598,0.000005590122,0.00001580973,0.00000423293,0.000007066847,0.000007513055],"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":[0.00001250054,0.000003339813,0.00003038693,0.00001646713,0.000001155411,0.00001538741,0.000003246667,0.0000302701,0.9994573,0.00001261102,0.000008593222,0.000408694],"study_design_scores_gemma":[0.000001282801,0.00002879082,0.0003772103,0.00000136202,0.000003249366,0.00002523079,0.000005174641,0.0001418823,0.9988686,0.000006505487,0.0005377635,0.000002925496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721484,0.00118454,0.02220601,0.0001293589,0.00002951715,0.00009940314,0.0005616978,0.0003187569,0.003322349],"genre_scores_gemma":[0.974566,0.001352685,0.01919335,0.00010294,0.00001153462,0.0001245645,0.0008965043,0.0000696617,0.003682818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001037405,"threshold_uncertainty_score":0.002062738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007574153762539481,"score_gpt":0.2146896278528855,"score_spread":0.207115474090346,"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."}}