{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002425027,0.0001724326,0.0001498187,0.0000251095,0.000116304,0.00002888343,0.0001199133,0.0002831317,0.00001181058],"category_scores_gemma":[0.0001820617,0.0001405976,0.00004527978,0.000235136,0.00005528221,0.0001823907,0.0001006978,0.0003167334,9.4866e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001960424,"about_ca_system_score_gemma":0.00007595905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001373316,"about_ca_topic_score_gemma":9.696762e-7,"domain_scores_codex":[0.9991359,0.00001892769,0.0001974694,0.0002458179,0.0001126357,0.0002892972],"domain_scores_gemma":[0.9993824,0.00001890337,0.00008783845,0.0002670342,0.0001773178,0.00006646381],"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":[0.00003887335,0.00001970093,0.0004426377,0.0002683125,0.00002605429,0.000005989007,0.0001438582,0.02238127,0.9761284,0.0003918716,0.00008625532,0.00006678011],"study_design_scores_gemma":[0.0002609752,0.00002002956,0.0003556171,0.00003826135,0.00004059026,0.0001494364,0.0008336907,0.0009254419,0.9869533,0.0002248289,0.01001729,0.0001805892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99738,0.001546453,0.0001022973,0.0001605112,0.0002098988,0.00009826425,0.000001808412,0.00006262658,0.0004381918],"genre_scores_gemma":[0.9974208,0.00005740768,0.0001341446,0.00001437926,0.0003019629,0.000007046923,0.00002185884,0.00002123118,0.002021112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02145582,"threshold_uncertainty_score":0.5733405,"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."}}