{"id":"W2041513298","doi":"10.2147/ijhts.s9763","title":"High-throughput approaches to investigate neutral lipid biosynthesis","year":2010,"lang":"en","type":"article","venue":"International Journal of High Throughput Screening","topic":"Lipid metabolism and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Throughput; Biosynthesis; Chemistry; Biochemistry; Computational biology; Cell biology; Biophysics; Biology; Computer science; Gene; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001376957,0.001093585,0.0007684911,0.001282852,0.0004709548,0.0009894256,0.0008021168,0.0007297784,0.001654224],"category_scores_gemma":[0.0005390607,0.0004844679,0.0007870837,0.001097403,0.000479731,0.0006214873,0.0008000485,0.001282513,0.001490898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009600382,"about_ca_system_score_gemma":0.0004205564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006448916,"about_ca_topic_score_gemma":0.001770639,"domain_scores_codex":[0.9986707,0.0003770176,0.00009807087,0.0001247042,0.000628363,0.0001011673],"domain_scores_gemma":[0.9993463,0.0003299703,0.00008554319,0.00009321969,0.0001006892,0.00004433049],"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":[0.0000457674,0.00006526036,0.00009992116,0.00007958641,0.00001586979,0.00001909402,0.00001463092,0.0002904633,0.9963192,0.0002013004,0.0001034969,0.002745381],"study_design_scores_gemma":[0.0000156401,0.0002260887,0.0005678378,0.000004871877,0.00002268661,0.0000605494,0.00001141153,0.001850063,0.9946619,0.0001482809,0.002417455,0.00001332924],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3433993,0.0121841,0.6270032,0.0007531456,0.0002354056,0.002071995,0.003977405,0.003176534,0.007198951],"genre_scores_gemma":[0.5361056,0.01443122,0.4251847,0.0003816863,0.0001133877,0.002619069,0.006094208,0.0002427535,0.01482748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001654224,"threshold_uncertainty_score":0.007282138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04276354033036071,"score_gpt":0.2503761472596812,"score_spread":0.2076126069293205,"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."}}