{"id":"W7037344599","doi":"","title":"Development of a solid-phase extraction method for the separation of algal lipid classes","year":2019,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Fractionation; Extraction (chemistry); Elution; Biodiesel; Biomass (ecology); Biodiesel production; Solid phase extraction; Sample preparation; Separation method; Algae fuel","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":[0.0007300382,0.0009536608,0.0006537255,0.0008547124,0.000425012,0.0005838063,0.0006723282,0.001157855,0.001752916],"category_scores_gemma":[0.0005515718,0.0004779361,0.0007498451,0.0006025517,0.0003885042,0.0007680338,0.0005622874,0.001209404,0.00301947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003467929,"about_ca_system_score_gemma":0.001180431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009856448,"about_ca_topic_score_gemma":0.002071344,"domain_scores_codex":[0.9991959,0.0000808803,0.00007607455,0.0002104217,0.0003872666,0.00004943774],"domain_scores_gemma":[0.9997103,0.00004988071,0.00004213746,0.00002089472,0.0001541987,0.00002249419],"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":[0.00004119573,0.00006421695,0.0002260417,0.0003508387,0.00002016937,0.0001382861,0.00003157674,0.0002919261,0.9742234,0.0003242691,0.0002868997,0.02400111],"study_design_scores_gemma":[0.00001717266,0.0002388718,0.001421216,0.00004391144,0.00003853546,0.0004811136,0.00003114536,0.003124522,0.9794835,0.0001703031,0.01490544,0.000044329],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1563397,0.01306796,0.8075076,0.001120281,0.0007690809,0.002393779,0.002123762,0.002284957,0.01439286],"genre_scores_gemma":[0.192438,0.01053251,0.7754487,0.0008190924,0.0001180128,0.001391446,0.002251948,0.0001873168,0.01681304],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001752916,"threshold_uncertainty_score":0.005864084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007743653024017752,"score_gpt":0.2635912493604614,"score_spread":0.2558475963364436,"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."}}