{"id":"W2550281312","doi":"","title":"LIQUID CO2 AND CO2-EXPANDED METHANOL FOR LIPID EXTRACTION FROM MICROALGAE","year":2015,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University","keywords":"Extraction (chemistry); Methanol; Chemistry; Environmental science; Chromatography; Biochemical engineering; Engineering; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001366983,0.0003124907,0.0002811931,0.0002313712,0.0001554797,0.0002258147,0.0001479283,0.0003519484,0.0005554797],"category_scores_gemma":[0.0001165267,0.0001620708,0.0003008813,0.000204827,0.000163364,0.0004052613,0.0002784857,0.0003371627,0.0002810768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001901071,"about_ca_system_score_gemma":0.0002228539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006946235,"about_ca_topic_score_gemma":0.001648584,"domain_scores_codex":[0.9998599,0.0000200616,0.00001186351,0.00002610482,0.00005837293,0.00002359294],"domain_scores_gemma":[0.9999596,0.00001170684,0.00001149335,0.000003018242,0.000008902295,0.000005245347],"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":[0.0000424541,0.00001222217,0.00008013698,0.00006394483,0.000004969362,0.00006294866,0.000009683818,0.0001862676,0.9977776,0.00002788704,0.00001490724,0.001716932],"study_design_scores_gemma":[0.000006154928,0.0000873834,0.0009173698,0.000005881077,0.00001119868,0.00008695023,0.00003321781,0.00108314,0.9964959,0.00002803688,0.001238011,0.000006721335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976542,0.006307497,0.01436574,0.0001704151,0.00005871974,0.0000852692,0.0001745712,0.00007321357,0.002222654],"genre_scores_gemma":[0.9791819,0.003762508,0.01321025,0.0001112536,0.00002022834,0.00004871199,0.0001671924,0.00002021452,0.003477737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006946235,"threshold_uncertainty_score":0.001858294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007410419703845785,"score_gpt":0.207938517415292,"score_spread":0.2005280977114462,"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."}}