{"id":"W2153751629","doi":"10.1016/j.bbamem.2014.07.017","title":"Identification of lipid and saccharide constituents of whole microalgal cells by 13C solid-state NMR","year":2014,"lang":"en","type":"article","venue":"Biochimica et Biophysica Acta (BBA) - Biomembranes","topic":"Algal biology and biofuel production","field":"Energy","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Rimouski; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Identification (biology); Carbon-13 NMR; Solid-state; Chemistry; Solid-state nuclear magnetic resonance; Computational biology; Organic chemistry; Nuclear magnetic resonance; Biology; Physical chemistry; Botany; Physics","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":[0.0002257359,0.0004490607,0.0002419674,0.0004097895,0.0004970952,0.0004907397,0.0002062299,0.0002961807,0.0008182524],"category_scores_gemma":[0.0002213334,0.000226358,0.0002874534,0.0004218561,0.0004519624,0.0005215369,0.0003399667,0.0005995387,0.0004263357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002270772,"about_ca_system_score_gemma":0.0004183454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001673109,"about_ca_topic_score_gemma":0.001727369,"domain_scores_codex":[0.9998797,0.00001408914,0.00001169387,0.00003388478,0.00003123298,0.00002942678],"domain_scores_gemma":[0.9998363,0.00003988742,0.00001994745,0.00002602325,0.00005228153,0.0000254497],"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":[0.00005354493,0.000005378569,0.0001597642,0.000009379221,0.000002156435,0.00001346989,0.0000160538,0.00002370806,0.9991508,0.00003417381,0.00001085602,0.0005207954],"study_design_scores_gemma":[0.00001338525,0.0001493674,0.01996487,0.000008546177,0.00002625488,0.0001274509,0.0001622452,0.001406934,0.9755469,0.0002279334,0.002350589,0.00001549102],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857095,0.001014849,0.00839324,0.0002100616,0.00004141094,0.00004709672,0.001726579,0.0001067476,0.002750459],"genre_scores_gemma":[0.9695801,0.001466924,0.01918434,0.0002384048,0.00004620221,0.000126719,0.005296698,0.0001052597,0.003955323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001673109,"threshold_uncertainty_score":0.003326714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006465932780673423,"score_gpt":0.2278738225306449,"score_spread":0.2214078897499715,"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."}}